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authorJamie Bullock <jamie@jamiebullock.com>2013-01-07 16:27:15 +0000
committerJamie Bullock <jamie@jamiebullock.com>2013-01-07 16:39:29 +0000
commit144e7f8668166ee1779ad304cc5ac94d8e525529 (patch)
tree089b2bbbcf15ee8bdde390a4d270e4812e7e2228
parent0f46938156dedf13032bdb1fc914a63d46bae558 (diff)
downloadLibXtract-144e7f8668166ee1779ad304cc5ac94d8e525529.tar.gz
LibXtract-144e7f8668166ee1779ad304cc5ac94d8e525529.tar.bz2
LibXtract-144e7f8668166ee1779ad304cc5ac94d8e525529.zip
added Ooura implementation to repository
Diffstat
-rwxr-xr-xautogen.sh2
-rw-r--r--configure.ac59
-rw-r--r--doc/documentation.doxygen.in2
-rw-r--r--examples/simpletest/simpletest.c4
-rw-r--r--src/Makefile.am8
-rw-r--r--src/delta.c41
-rw-r--r--src/descriptors.c2356
-rw-r--r--src/fftsg.c3492
-rw-r--r--src/fftsg.h21
-rw-r--r--src/fini.c11
-rw-r--r--src/helper.c18
-rw-r--r--src/init.c281
-rw-r--r--src/libxtract.c7
-rw-r--r--src/scalar.c572
-rw-r--r--src/vector.c467
-rw-r--r--src/window.c101
-rw-r--r--src/xtract_globals_private.h24
-rw-r--r--swig/java/Makefile.am3
-rw-r--r--swig/java/SWIG.java16
-rw-r--r--xtract/xtract_helper.h5
20 files changed, 5552 insertions, 1938 deletions
diff --git a/autogen.sh b/autogen.sh
index 9107d89..cc118e8 100755
--- a/autogen.sh
+++ b/autogen.sh
@@ -12,7 +12,7 @@ case `uname -s` in
;;
Darwin)
LIBTOOLIZE=glibtoolize
- ACLOCALARGS='-I /usr/share/aclocal -I m4'
+ ACLOCALARGS='-I m4'
;;
*) echo error: unrecognized OS
exit 1
diff --git a/configure.ac b/configure.ac
index fe3ae64..be8e0b5 100644
--- a/configure.ac
+++ b/configure.ac
@@ -2,9 +2,9 @@ AC_PREREQ(2.13)
# Increment for major API changes, release status changes
m4_define(libxtract_major_version, 0)
# Increment for feature additions and enhancements
-m4_define(libxtract_minor_version, 6)
+m4_define(libxtract_minor_version, 7)
# Increment for fixes
-m4_define(libxtract_fix_version, 6)
+m4_define(libxtract_fix_version, 0)
# Development status
m4_define(libIntegra_dev_status, [beta])
@@ -14,7 +14,6 @@ PACKAGE=libxtract
AC_INIT([libxtract], [libxtract_version], [libxtract-devel@lists.sourceforge.net])
AC_DEFINE(LIBXTRACT_VERSION, libxtract_version, [LibXtract Version])
-dnl AM_INIT_AUTOMAKE($PACKAGE, $LIBXTRACT_VERSION)
AM_INIT_AUTOMAKE(1.6)
AM_CONFIG_HEADER(config.h)
AC_CONFIG_MACRO_DIR([m4])
@@ -30,14 +29,6 @@ AC_CHECK_HEADERS([math.h, stdlib.h, stdio.h])
AC_CHECK_PROG([DOXYGEN], [doxygen], [doc], [])
AC_SUBST(DOXYGEN)
-AC_ARG_ENABLE(fft,
- [ --enable-fft Turn fft-based fft processing on],
- [case "${enableval}" in
- yes) fft=true ;;
- no) fft=false ;;
- *) AC_MSG_ERROR(bad value ${enableval} for --enable-fft) ;;
- esac],[fft=false])
-
AC_ARG_ENABLE(pd_example,
[ --enable-pd_example Compile the Pure Data external example],
[case "${enableval}" in
@@ -81,25 +72,6 @@ AC_ARG_WITH(pd_dir,
echo
])
-AC_ARG_WITH(fftw3_dir,
- [ --with-fftw3-dir=path fftw3 header path (default=/usr/local/include) ],
- [
- CFLAGS="$CFLAGS -I$withval"
- echo
- echo "fftw3 dir is $withval"
- echo
- ])
-
-dnl Set FFT optimisation level
-AC_ARG_WITH(fft_optimisation,
- [ --with-fft_optimisation=level set fft optimistaion level (default=1)],
- [
- FFT_OPTIMISATION="$withval"
- echo
- echo "fft optimisation level is $withval"
- echo
- ])
-
dnl set a specific java compiler
AC_ARG_WITH(javac,
[ --with-javac=compiler set a specific java compiler (determined automatically if not set) ],
@@ -199,28 +171,6 @@ if [[ "$swig" = "true" ]] ; then
AC_DEFINE([BUILD_SWIG], [1], [Build the swig bindings])
fi
-dnl Are we building with fftw?
-if [[ "$fft" = "true" ]] ; then
- LDFLAGS="$LDFLAGS -lfftw3f"
- AC_DEFINE([BUILD_FFT], [1], [Build the fft functions])
- if test "$FFT_OPTIMISATION" = ""
- then
- AC_DEFINE([XTRACT_FFT_OPTIMISATION_LEVEL], [1], [fft optimisation 1])
- else
- # AC_SUBST(OPTIMISATION_LEVEL, "$FFT_OPTIMISATION")
- AC_DEFINE_UNQUOTED(XTRACT_FFT_OPTIMISATION_LEVEL, ${FFT_OPTIMISATION})
- fi
- AC_CHECK_HEADER(fftw3.h, [have_fftw3_hdr=yes ], [
- have_pd_hdr=no
- echo
- echo "no fftw3.h header found. try with option --with-fftw3-dir=/path/to/fftw3/header"
- echo
- exit
- ])
-fi
-
-AM_CONDITIONAL(BUILD_FFT, test "x${fft}" = 'xtrue')
-
dnl Check for architecture endian-ness
#AC_C_BIGENDIAN(bigendian=true, bigendian=false, bigendian=undefined)
#if [[ "$is_bigendian" = "false" ]] ; then
@@ -317,11 +267,6 @@ echo "Summary:"
echo
dnl echo you are using the ${host} architecture
-if test "$fft" = "true"; then
- echo "fft: yes (using fftw3f)"
-else
- echo "fft: no (not using fftw3, no fft functions)"
-fi
if test "$simpletest" = "true"; then
echo "simpletest example: yes"
else
diff --git a/doc/documentation.doxygen.in b/doc/documentation.doxygen.in
index 89dfa5a..6e4d48c 100644
--- a/doc/documentation.doxygen.in
+++ b/doc/documentation.doxygen.in
@@ -1055,7 +1055,7 @@ INCLUDE_FILE_PATTERNS =
# undefined via #undef or recursively expanded use the := operator
# instead of the = operator.
-PREDEFINED = XTRACT_FFT
+PREDEFINED =
# If the MACRO_EXPANSION and EXPAND_ONLY_PREDEF tags are set to YES then
# this tag can be used to specify a list of macro names that should be expanded.
diff --git a/examples/simpletest/simpletest.c b/examples/simpletest/simpletest.c
index a5380be..f4acd95 100644
--- a/examples/simpletest/simpletest.c
+++ b/examples/simpletest/simpletest.c
@@ -53,8 +53,8 @@ int main(void)
/* get the spectrum */
argf[0] = SAMPLERATE / (float)BLOCKSIZE;
argf[1] = XTRACT_MAGNITUDE_SPECTRUM;
- argf[2] = 0.f;
- argf[3] = 0.f;
+ argf[2] = 0.f; /* No DC component */
+ argf[3] = 0.f; /* No Normalisation */
xtract_init_fft(BLOCKSIZE, XTRACT_SPECTRUM);
xtract[XTRACT_SPECTRUM]((void *)&input, BLOCKSIZE, &argf[0], (void *)&spectrum[0]);
diff --git a/src/Makefile.am b/src/Makefile.am
index 7092ff6..d768d2d 100644
--- a/src/Makefile.am
+++ b/src/Makefile.am
@@ -1,13 +1,7 @@
MAINTAINERCLEANFILES = Makefile.in
SOURCES = libxtract.c descriptors.c scalar.c vector.c delta.c init.c\
- window.c fini.c helper.c
-
-if BUILD_FFT
-FFT_DEFINE = -DXTRACT_FFT
-else
-FFT_DEFINE =
-endif
+ window.c fini.c helper.c fftsg.c
lib_LTLIBRARIES = libxtract.la
libxtract_la_CFLAGS = $(FFT_DEFINE)
diff --git a/src/delta.c b/src/delta.c
index b1effd0..9620294 100644
--- a/src/delta.c
+++ b/src/delta.c
@@ -1,5 +1,5 @@
/* libxtract feature extraction library
- *
+ *
* Copyright (C) 2006 Jamie Bullock
*
* This program is free software; you can redistribute it and/or modify
@@ -14,7 +14,7 @@
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
* USA.
*/
@@ -24,14 +24,16 @@
#include "xtract/libxtract.h"
-int xtract_flux(const float *data, const int N, const void *argv , float *result){
+int xtract_flux(const float *data, const int N, const void *argv , float *result)
+{
/* FIX: don't be lazy -- take the lnorm of the difference vector! */
return xtract_lnorm(data, N, argv, result);
}
-int xtract_lnorm(const float *data, const int N, const void *argv , float *result){
+int xtract_lnorm(const float *data, const int N, const void *argv , float *result)
+{
int n,
type;
@@ -45,18 +47,20 @@ int xtract_lnorm(const float *data, const int N, const void *argv , float *resul
*result = 0.f;
- switch(type){
+ switch(type)
+ {
- case XTRACT_POSITIVE_SLOPE:
- for(n = 0; n < N; n++){
- if(data[n] > 0)
- *result += powf(data[n], order);
- }
- break;
- default:
- for(n = 0; n < N; n++)
+ case XTRACT_POSITIVE_SLOPE:
+ for(n = 0; n < N; n++)
+ {
+ if(data[n] > 0)
*result += powf(data[n], order);
- break;
+ }
+ break;
+ default:
+ for(n = 0; n < N; n++)
+ *result += powf(data[n], order);
+ break;
}
@@ -66,19 +70,22 @@ int xtract_lnorm(const float *data, const int N, const void *argv , float *resul
}
-int xtract_attack_time(const float *data, const int N, const void *argv , float *result){
+int xtract_attack_time(const float *data, const int N, const void *argv , float *result)
+{
return XTRACT_FEATURE_NOT_IMPLEMENTED;
}
-int xtract_decay_time(const float *data, const int N, const void *argv, float *result){
+int xtract_decay_time(const float *data, const int N, const void *argv, float *result)
+{
return XTRACT_FEATURE_NOT_IMPLEMENTED;
}
-int xtract_difference_vector(const float *data, const int N, const void *argv, float *result){
+int xtract_difference_vector(const float *data, const int N, const void *argv, float *result)
+{
const float *frame1,
*frame2;
diff --git a/src/descriptors.c b/src/descriptors.c
index 892a899..1072d42 100644
--- a/src/descriptors.c
+++ b/src/descriptors.c
@@ -1,5 +1,5 @@
/* libxtract feature extraction library
- *
+ *
* Copyright (C) 2006 Jamie Bullock
*
* This program is free software; you can redistribute it and/or modify
@@ -14,7 +14,7 @@
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
* USA.
*/
@@ -24,13 +24,14 @@
#include <string.h>
#define XTRACT
-xtract_function_descriptor_t *xtract_make_descriptors(void){
+xtract_function_descriptor_t *xtract_make_descriptors(void)
+{
int f , F;
- char *name, *p_name, *desc, *p_desc, *author;
+ char *name, *p_name, *desc, *p_desc, *author;
float *argv_min, *argv_max, *argv_def, *result_min, *result_max;
int *argc, *year, *argv_donor;
- xtract_vector_t *data_format, *result_format;
+ xtract_vector_t *data_format, *result_format;
xtract_unit_t *data_unit, *argv_unit, *result_unit;
xtract_bool_t *is_scalar, *is_delta;
xtract_function_descriptor_t *fd, *d;
@@ -42,7 +43,8 @@ xtract_function_descriptor_t *xtract_make_descriptors(void){
/* FIX - this file probably needs a rewrite for readability */
- while(f--){
+ while(f--)
+ {
d = &fd[f];
d->id = f;
@@ -54,396 +56,400 @@ xtract_function_descriptor_t *xtract_make_descriptors(void){
argv_def = &d->argv.def[0];
argv_unit = &d->argv.unit[0];
- switch (f) {
+ switch (f)
+ {
/* argc = 1 */
- case XTRACT_VARIANCE:
- case XTRACT_SPECTRAL_VARIANCE:
- case XTRACT_STANDARD_DEVIATION:
- case XTRACT_DIFFERENCE_VECTOR:
- case XTRACT_AVERAGE_DEVIATION:
- case XTRACT_SPECTRAL_STANDARD_DEVIATION:
+ case XTRACT_VARIANCE:
+ case XTRACT_SPECTRAL_VARIANCE:
+ case XTRACT_STANDARD_DEVIATION:
+ case XTRACT_DIFFERENCE_VECTOR:
+ case XTRACT_AVERAGE_DEVIATION:
+ case XTRACT_SPECTRAL_STANDARD_DEVIATION:
/* case XTRACT_SPECTRAL_AVERAGE_DEVIATION: */
- case XTRACT_LOWEST_VALUE:
- case XTRACT_TONALITY:
- case XTRACT_MFCC:
- case XTRACT_LPC:
- case XTRACT_LPCC:
- *argv_min = XTRACT_ANY;
- *argv_max = XTRACT_ANY;
- *argv_def = XTRACT_ANY;
- *argv_unit = XTRACT_DBFS;
- break;
- case XTRACT_SPECTRAL_INHARMONICITY:
- *argv_min = 0.f;
- *argv_max = XTRACT_SR_UPPER_LIMIT / 2;
- *argv_def = XTRACT_FUNDAMENTAL_DEFAULT;
- *argv_unit = XTRACT_HERTZ;
- break;
- case XTRACT_F0:
- case XTRACT_FAILSAFE_F0:
- *argv_min = XTRACT_SR_LOWER_LIMIT;
- *argv_max = XTRACT_SR_UPPER_LIMIT;
- *argv_def = XTRACT_SR_DEFAULT;
- *argv_unit = XTRACT_HERTZ;
- break;
- case XTRACT_FLATNESS_DB:
- *argv_min = 0;
- *argv_max = 1.0;
- *argv_def = XTRACT_ANY;
- *argv_unit = XTRACT_DBFS;
- break;
+ case XTRACT_LOWEST_VALUE:
+ case XTRACT_TONALITY:
+ case XTRACT_MFCC:
+ case XTRACT_LPC:
+ case XTRACT_LPCC:
+ *argv_min = XTRACT_ANY;
+ *argv_max = XTRACT_ANY;
+ *argv_def = XTRACT_ANY;
+ *argv_unit = XTRACT_DBFS;
+ break;
+ case XTRACT_SPECTRAL_INHARMONICITY:
+ *argv_min = 0.f;
+ *argv_max = XTRACT_SR_UPPER_LIMIT / 2;
+ *argv_def = XTRACT_FUNDAMENTAL_DEFAULT;
+ *argv_unit = XTRACT_HERTZ;
+ break;
+ case XTRACT_F0:
+ case XTRACT_FAILSAFE_F0:
+ *argv_min = XTRACT_SR_LOWER_LIMIT;
+ *argv_max = XTRACT_SR_UPPER_LIMIT;
+ *argv_def = XTRACT_SR_DEFAULT;
+ *argv_unit = XTRACT_HERTZ;
+ break;
+ case XTRACT_FLATNESS_DB:
+ *argv_min = 0;
+ *argv_max = 1.0;
+ *argv_def = XTRACT_ANY;
+ *argv_unit = XTRACT_DBFS;
+ break;
/* argc = 2 */;
- case XTRACT_ROLLOFF:
- *argv_min = XTRACT_FFT_BANDS_MIN;
- *argv_max = XTRACT_FFT_BANDS_MAX;
- *argv_def = XTRACT_SPEC_BW_DEF ;
- *argv_unit = XTRACT_HERTZ;
- *(argv_min + 1) = 0.f;
- *(argv_max + 1) = 100.f;
- *(argv_def + 1) = 95.f;
- *(argv_unit + 1) = XTRACT_PERCENT;
- break;
- case XTRACT_PEAK_SPECTRUM:
- *argv_min = XTRACT_SR_LOWER_LIMIT / 2;
- *argv_max = XTRACT_SR_UPPER_LIMIT / 2;
- *argv_def = XTRACT_SR_DEFAULT / 2;
- *argv_unit = XTRACT_HERTZ;
- *(argv_min + 1) = 0.f;
- *(argv_max + 1) = 100.f ;
- *(argv_def + 1) = 10.f ;
- *(argv_unit + 1) = XTRACT_PERCENT;
- break;
- case XTRACT_HARMONIC_SPECTRUM:
- *argv_min = 0.f;
- *argv_max = XTRACT_SR_UPPER_LIMIT / 2;
- *argv_def = XTRACT_FUNDAMENTAL_DEFAULT;
- *argv_unit = XTRACT_HERTZ;
- *(argv_min + 1) = 0.f;
- *(argv_max + 1) = 1.f ;
- *(argv_def + 1) = .1f ;
- *(argv_unit + 1) = XTRACT_NONE;
- break;
- case XTRACT_NOISINESS:
- case XTRACT_SKEWNESS:
- case XTRACT_KURTOSIS:
- case XTRACT_SPECTRAL_SKEWNESS:
- case XTRACT_SPECTRAL_KURTOSIS:
- case XTRACT_CREST:
- *argv_min = XTRACT_NONE;
- *argv_max = XTRACT_NONE;
- *argv_def = XTRACT_NONE;
- *argv_unit = XTRACT_NONE;
- *(argv_min + 1) = XTRACT_NONE;
- *(argv_max + 1) = XTRACT_NONE;
- *(argv_def + 1) = XTRACT_NONE;
- *(argv_unit + 1) = XTRACT_NONE;
- break;
+ case XTRACT_ROLLOFF:
+ *argv_min = XTRACT_FFT_BANDS_MIN;
+ *argv_max = XTRACT_FFT_BANDS_MAX;
+ *argv_def = XTRACT_SPEC_BW_DEF ;
+ *argv_unit = XTRACT_HERTZ;
+ *(argv_min + 1) = 0.f;
+ *(argv_max + 1) = 100.f;
+ *(argv_def + 1) = 95.f;
+ *(argv_unit + 1) = XTRACT_PERCENT;
+ break;
+ case XTRACT_PEAK_SPECTRUM:
+ *argv_min = XTRACT_SR_LOWER_LIMIT / 2;
+ *argv_max = XTRACT_SR_UPPER_LIMIT / 2;
+ *argv_def = XTRACT_SR_DEFAULT / 2;
+ *argv_unit = XTRACT_HERTZ;
+ *(argv_min + 1) = 0.f;
+ *(argv_max + 1) = 100.f ;
+ *(argv_def + 1) = 10.f ;
+ *(argv_unit + 1) = XTRACT_PERCENT;
+ break;
+ case XTRACT_HARMONIC_SPECTRUM:
+ *argv_min = 0.f;
+ *argv_max = XTRACT_SR_UPPER_LIMIT / 2;
+ *argv_def = XTRACT_FUNDAMENTAL_DEFAULT;
+ *argv_unit = XTRACT_HERTZ;
+ *(argv_min + 1) = 0.f;
+ *(argv_max + 1) = 1.f ;
+ *(argv_def + 1) = .1f ;
+ *(argv_unit + 1) = XTRACT_NONE;
+ break;
+ case XTRACT_NOISINESS:
+ case XTRACT_SKEWNESS:
+ case XTRACT_KURTOSIS:
+ case XTRACT_SPECTRAL_SKEWNESS:
+ case XTRACT_SPECTRAL_KURTOSIS:
+ case XTRACT_CREST:
+ *argv_min = XTRACT_NONE;
+ *argv_max = XTRACT_NONE;
+ *argv_def = XTRACT_NONE;
+ *argv_unit = XTRACT_NONE;
+ *(argv_min + 1) = XTRACT_NONE;
+ *(argv_max + 1) = XTRACT_NONE;
+ *(argv_def + 1) = XTRACT_NONE;
+ *(argv_unit + 1) = XTRACT_NONE;
+ break;
/* argc = 4 */
- case XTRACT_SPECTRUM:
- *argv_min = XTRACT_SR_LOWER_LIMIT / XTRACT_FFT_BANDS_MIN;
- *argv_max = XTRACT_SR_UPPER_LIMIT / XTRACT_FFT_BANDS_MAX;
- *argv_def = XTRACT_SR_DEFAULT / XTRACT_FFT_BANDS_DEF;
- *argv_unit = XTRACT_HERTZ;
- *(argv_min + 1) = 0;
- *(argv_max + 1) = 3 ;
- *(argv_def + 1) = 0;
- *(argv_unit + 1) = XTRACT_NONE;
- *(argv_min + 2) = 0;
- *(argv_max + 2) = 1;
- *(argv_def + 2) = 0;
- *(argv_unit + 2) = XTRACT_NONE;
- *(argv_min + 3) = 0;
- *(argv_max + 3) = 1;
- *(argv_def + 3) = 0;
- *(argv_unit + 3) = XTRACT_NONE;
- break;
- case XTRACT_SUBBANDS:
- *argv_min = XTRACT_ANY;
- *argv_max = XTRACT_ANY;
- *argv_def = XTRACT_MEAN;
- *argv_unit = XTRACT_NONE;
- *(argv_min + 1) = 1;
- *(argv_max + 1) = 16384;
- *(argv_def + 1) = 4;
- *(argv_unit + 1) = XTRACT_NONE;
- *(argv_min + 2) = 0;
- *(argv_max + 2) = 32;
- *(argv_def + 2) = 0;
- *(argv_unit + 2) = XTRACT_NONE;
- *(argv_min + 3) = 0;
- *(argv_max + 3) = XTRACT_ANY;
- *(argv_def + 3) = 0;
- *(argv_unit + 3) = XTRACT_BINS;
- break;
- case XTRACT_BARK_COEFFICIENTS:
- /* BARK_COEFFICIENTS is special because argc = BARK_BANDS */
- case XTRACT_WINDOWED:
- /* WINDOWED is special because argc = window size = N */
- default:
- *argv_min = XTRACT_NONE;
- *argv_max = XTRACT_NONE;
- *argv_def = XTRACT_NONE;
- *argv_unit = XTRACT_NONE;
- break;
+ case XTRACT_SPECTRUM:
+ *argv_min = XTRACT_SR_LOWER_LIMIT / XTRACT_FFT_BANDS_MIN;
+ *argv_max = XTRACT_SR_UPPER_LIMIT / XTRACT_FFT_BANDS_MAX;
+ *argv_def = XTRACT_SR_DEFAULT / XTRACT_FFT_BANDS_DEF;
+ *argv_unit = XTRACT_HERTZ;
+ *(argv_min + 1) = 0;
+ *(argv_max + 1) = 3 ;
+ *(argv_def + 1) = 0;
+ *(argv_unit + 1) = XTRACT_NONE;
+ *(argv_min + 2) = 0;
+ *(argv_max + 2) = 1;
+ *(argv_def + 2) = 0;
+ *(argv_unit + 2) = XTRACT_NONE;
+ *(argv_min + 3) = 0;
+ *(argv_max + 3) = 1;
+ *(argv_def + 3) = 0;
+ *(argv_unit + 3) = XTRACT_NONE;
+ break;
+ case XTRACT_SUBBANDS:
+ *argv_min = XTRACT_ANY;
+ *argv_max = XTRACT_ANY;
+ *argv_def = XTRACT_MEAN;
+ *argv_unit = XTRACT_NONE;
+ *(argv_min + 1) = 1;
+ *(argv_max + 1) = 16384;
+ *(argv_def + 1) = 4;
+ *(argv_unit + 1) = XTRACT_NONE;
+ *(argv_min + 2) = 0;
+ *(argv_max + 2) = 32;
+ *(argv_def + 2) = 0;
+ *(argv_unit + 2) = XTRACT_NONE;
+ *(argv_min + 3) = 0;
+ *(argv_max + 3) = XTRACT_ANY;
+ *(argv_def + 3) = 0;
+ *(argv_unit + 3) = XTRACT_BINS;
+ break;
+ case XTRACT_BARK_COEFFICIENTS:
+ /* BARK_COEFFICIENTS is special because argc = BARK_BANDS */
+ case XTRACT_WINDOWED:
+ /* WINDOWED is special because argc = window size = N */
+ default:
+ *argv_min = XTRACT_NONE;
+ *argv_max = XTRACT_NONE;
+ *argv_def = XTRACT_NONE;
+ *argv_unit = XTRACT_NONE;
+ break;
}
argv_donor = &d->argv.donor[0];
- switch (f) {
+ switch (f)
+ {
/* argc = 1 */
- case XTRACT_VARIANCE:
- *argv_donor = XTRACT_MEAN;
- break;
- case XTRACT_SPECTRAL_VARIANCE:
- *argv_donor = XTRACT_SPECTRAL_MEAN;
- break;
- case XTRACT_STANDARD_DEVIATION:
- *argv_donor = XTRACT_VARIANCE;
- break;
- case XTRACT_AVERAGE_DEVIATION:
- *argv_donor = XTRACT_MEAN;
- break;
- case XTRACT_SPECTRAL_STANDARD_DEVIATION:
- *argv_donor = XTRACT_SPECTRAL_VARIANCE;
- break;
+ case XTRACT_VARIANCE:
+ *argv_donor = XTRACT_MEAN;
+ break;
+ case XTRACT_SPECTRAL_VARIANCE:
+ *argv_donor = XTRACT_SPECTRAL_MEAN;
+ break;
+ case XTRACT_STANDARD_DEVIATION:
+ *argv_donor = XTRACT_VARIANCE;
+ break;
+ case XTRACT_AVERAGE_DEVIATION:
+ *argv_donor = XTRACT_MEAN;
+ break;
+ case XTRACT_SPECTRAL_STANDARD_DEVIATION:
+ *argv_donor = XTRACT_SPECTRAL_VARIANCE;
+ break;
/* case XTRACT_SPECTRAL_AVERAGE_DEVIATION:
*argv_donor = XTRACT_SPECTRAL_MEAN;
break; */
- case XTRACT_SPECTRAL_INHARMONICITY:
- *argv_donor = XTRACT_FAILSAFE_F0;
- break;
- case XTRACT_FLATNESS_DB:
- *argv_donor = XTRACT_FLATNESS;
- break;
- case XTRACT_TONALITY:
- *argv_donor = XTRACT_FLATNESS_DB;
- break;
- case XTRACT_LOWEST_VALUE:
- case XTRACT_F0:
- case XTRACT_FAILSAFE_F0:
- *argv_donor = XTRACT_ANY;
- break;
- case XTRACT_MFCC:
- *argv_donor = XTRACT_INIT_MFCC;
- break;
- /* argc = 2 */;
- case XTRACT_ROLLOFF:
- case XTRACT_PEAK_SPECTRUM:
- case XTRACT_FLUX:
- case XTRACT_LNORM:
- *argv_donor = XTRACT_ANY;
- *(argv_donor + 1) = XTRACT_ANY;
- break;
- case XTRACT_SKEWNESS:
- case XTRACT_KURTOSIS:
- *argv_donor = XTRACT_MEAN;
- *(argv_donor + 1) = XTRACT_STANDARD_DEVIATION;
- break;
- case XTRACT_SPECTRAL_SKEWNESS:
- case XTRACT_SPECTRAL_KURTOSIS:
- *argv_donor = XTRACT_SPECTRAL_MEAN;
- *(argv_donor + 1) = XTRACT_SPECTRAL_STANDARD_DEVIATION;
- break;
- case XTRACT_HARMONIC_SPECTRUM:
- *argv_donor = XTRACT_FAILSAFE_F0;
- *(argv_donor + 1) = XTRACT_ANY;
- break;
- case XTRACT_NOISINESS:
- *argv_donor = XTRACT_SUM;
- *(argv_donor + 1) = XTRACT_SUM;
- break;
- case XTRACT_CREST:
- *argv_donor = XTRACT_HIGHEST_VALUE;
- *(argv_donor + 1) = XTRACT_MEAN;
- break;
- /* argc = 4 */
- case XTRACT_SPECTRUM:
- *argv_donor = XTRACT_ANY;
- *(argv_donor + 1) = XTRACT_ANY;
- *(argv_donor + 2) = XTRACT_ANY;
- *(argv_donor + 3) = XTRACT_ANY;
- break;
- case XTRACT_SUBBANDS:
- *argv_donor = XTRACT_ANY;
- *(argv_donor + 1) = XTRACT_ANY;
- *(argv_donor + 2) = XTRACT_ANY;
- *(argv_donor + 3) = XTRACT_ANY;
- break;
+ case XTRACT_SPECTRAL_INHARMONICITY:
+ *argv_donor = XTRACT_FAILSAFE_F0;
+ break;
+ case XTRACT_FLATNESS_DB:
+ *argv_donor = XTRACT_FLATNESS;
+ break;
+ case XTRACT_TONALITY:
+ *argv_donor = XTRACT_FLATNESS_DB;
+ break;
+ case XTRACT_LOWEST_VALUE:
+ case XTRACT_F0:
+ case XTRACT_FAILSAFE_F0:
+ *argv_donor = XTRACT_ANY;
+ break;
+ case XTRACT_MFCC:
+ *argv_donor = XTRACT_INIT_MFCC;
+ break;
+ /* argc = 2 */;
+ case XTRACT_ROLLOFF:
+ case XTRACT_PEAK_SPECTRUM:
+ case XTRACT_FLUX:
+ case XTRACT_LNORM:
+ *argv_donor = XTRACT_ANY;
+ *(argv_donor + 1) = XTRACT_ANY;
+ break;
+ case XTRACT_SKEWNESS:
+ case XTRACT_KURTOSIS:
+ *argv_donor = XTRACT_MEAN;
+ *(argv_donor + 1) = XTRACT_STANDARD_DEVIATION;
+ break;
+ case XTRACT_SPECTRAL_SKEWNESS:
+ case XTRACT_SPECTRAL_KURTOSIS:
+ *argv_donor = XTRACT_SPECTRAL_MEAN;
+ *(argv_donor + 1) = XTRACT_SPECTRAL_STANDARD_DEVIATION;
+ break;
+ case XTRACT_HARMONIC_SPECTRUM:
+ *argv_donor = XTRACT_FAILSAFE_F0;
+ *(argv_donor + 1) = XTRACT_ANY;
+ break;
+ case XTRACT_NOISINESS:
+ *argv_donor = XTRACT_SUM;
+ *(argv_donor + 1) = XTRACT_SUM;
+ break;
+ case XTRACT_CREST:
+ *argv_donor = XTRACT_HIGHEST_VALUE;
+ *(argv_donor + 1) = XTRACT_MEAN;
+ break;
+ /* argc = 4 */
+ case XTRACT_SPECTRUM:
+ *argv_donor = XTRACT_ANY;
+ *(argv_donor + 1) = XTRACT_ANY;
+ *(argv_donor + 2) = XTRACT_ANY;
+ *(argv_donor + 3) = XTRACT_ANY;
+ break;
+ case XTRACT_SUBBANDS:
+ *argv_donor = XTRACT_ANY;
+ *(argv_donor + 1) = XTRACT_ANY;
+ *(argv_donor + 2) = XTRACT_ANY;
+ *(argv_donor + 3) = XTRACT_ANY;
+ break;
/* BARK_BANDS */
- case XTRACT_BARK_COEFFICIENTS:
- *argv_donor = XTRACT_INIT_BARK;
- break;
- case XTRACT_WINDOWED:
- *argv_donor = XTRACT_INIT_WINDOWED;
- break;
- default:
- *argv_donor = XTRACT_ANY;
- break;
+ case XTRACT_BARK_COEFFICIENTS:
+ *argv_donor = XTRACT_INIT_BARK;
+ break;
+ case XTRACT_WINDOWED:
+ *argv_donor = XTRACT_INIT_WINDOWED;
+ break;
+ default:
+ *argv_donor = XTRACT_ANY;
+ break;
}
data_format = &d->data.format;
- switch(f){
+ switch(f)
+ {
- case XTRACT_MEAN:
- case XTRACT_VARIANCE:
- case XTRACT_STANDARD_DEVIATION:
- case XTRACT_AVERAGE_DEVIATION:
- case XTRACT_SKEWNESS:
- case XTRACT_KURTOSIS:
- case XTRACT_LOWEST_VALUE:
- case XTRACT_HIGHEST_VALUE:
- case XTRACT_SUM:
- case XTRACT_WINDOWED:
- *data_format = XTRACT_ARBITRARY_SERIES;
- break;
- case XTRACT_SPECTRAL_MEAN:
- case XTRACT_SPECTRAL_VARIANCE:
- case XTRACT_SPECTRAL_STANDARD_DEVIATION:
+ case XTRACT_MEAN:
+ case XTRACT_VARIANCE:
+ case XTRACT_STANDARD_DEVIATION:
+ case XTRACT_AVERAGE_DEVIATION:
+ case XTRACT_SKEWNESS:
+ case XTRACT_KURTOSIS:
+ case XTRACT_LOWEST_VALUE:
+ case XTRACT_HIGHEST_VALUE:
+ case XTRACT_SUM:
+ case XTRACT_WINDOWED:
+ *data_format = XTRACT_ARBITRARY_SERIES;
+ break;
+ case XTRACT_SPECTRAL_MEAN:
+ case XTRACT_SPECTRAL_VARIANCE:
+ case XTRACT_SPECTRAL_STANDARD_DEVIATION:
/* case XTRACT_SPECTRAL_AVERAGE_DEVIATION: */
- case XTRACT_SPECTRAL_SKEWNESS:
- case XTRACT_SPECTRAL_KURTOSIS:
- case XTRACT_SPECTRAL_CENTROID:
- case XTRACT_SPECTRAL_SLOPE:
- *data_format = XTRACT_SPECTRAL;
- break;
- case XTRACT_ROLLOFF:
- case XTRACT_NOISINESS:
- case XTRACT_BARK_COEFFICIENTS:
- case XTRACT_CREST:
- case XTRACT_IRREGULARITY_K:
- case XTRACT_IRREGULARITY_J:
- case XTRACT_SMOOTHNESS:
- case XTRACT_FLATNESS:
- case XTRACT_SPREAD:
- case XTRACT_POWER:
- case XTRACT_HPS:
- case XTRACT_PEAK_SPECTRUM:
- case XTRACT_SUBBANDS:
- case XTRACT_MFCC:
- *data_format = XTRACT_SPECTRAL_MAGNITUDES;
- break;
- case XTRACT_LPC:
- *data_format = XTRACT_AUTOCORRELATION_COEFFS;
- break;
- case XTRACT_LPCC:
- *data_format = XTRACT_LPC_COEFFS;
- break;
- case XTRACT_SPECTRAL_INHARMONICITY:
- case XTRACT_HARMONIC_SPECTRUM:
- *data_format = XTRACT_SPECTRAL_PEAKS;
- break;
- case XTRACT_NONZERO_COUNT:
- *data_format = XTRACT_SPECTRAL_PEAKS_MAGNITUDES;
- break;
- case XTRACT_F0:
- case XTRACT_FAILSAFE_F0:
- case XTRACT_SPECTRUM:
- case XTRACT_AUTOCORRELATION:
- case XTRACT_AUTOCORRELATION_FFT:
- case XTRACT_DCT:
- case XTRACT_AMDF:
- case XTRACT_ASDF:
- case XTRACT_ZCR:
- case XTRACT_RMS_AMPLITUDE:
- case XTRACT_FLUX:
- case XTRACT_LNORM:
- *data_format = XTRACT_AUDIO_SAMPLES;
- break;
- case XTRACT_TONALITY:
- case XTRACT_FLATNESS_DB:
- *data_format = XTRACT_NO_DATA;
- break;
- case XTRACT_TRISTIMULUS_1:
- case XTRACT_TRISTIMULUS_2:
- case XTRACT_TRISTIMULUS_3:
- case XTRACT_ODD_EVEN_RATIO:
- *data_format = XTRACT_SPECTRAL_HARMONICS_MAGNITUDES;
- break;
- case XTRACT_LOUDNESS:
- case XTRACT_SHARPNESS:
- *data_format = XTRACT_BARK_COEFFS;
- break;
- case XTRACT_DIFFERENCE_VECTOR:
- *data_format = XTRACT_SUBFRAMES;
- break;
- case XTRACT_ATTACK_TIME:
- case XTRACT_DECAY_TIME:
- default:
- *data_format = XTRACT_NO_DATA;
- break;
+ case XTRACT_SPECTRAL_SKEWNESS:
+ case XTRACT_SPECTRAL_KURTOSIS:
+ case XTRACT_SPECTRAL_CENTROID:
+ case XTRACT_SPECTRAL_SLOPE:
+ *data_format = XTRACT_SPECTRAL;
+ break;
+ case XTRACT_ROLLOFF:
+ case XTRACT_NOISINESS:
+ case XTRACT_BARK_COEFFICIENTS:
+ case XTRACT_CREST:
+ case XTRACT_IRREGULARITY_K:
+ case XTRACT_IRREGULARITY_J:
+ case XTRACT_SMOOTHNESS:
+ case XTRACT_FLATNESS:
+ case XTRACT_SPREAD:
+ case XTRACT_POWER:
+ case XTRACT_HPS:
+ case XTRACT_PEAK_SPECTRUM:
+ case XTRACT_SUBBANDS:
+ case XTRACT_MFCC:
+ *data_format = XTRACT_SPECTRAL_MAGNITUDES;
+ break;
+ case XTRACT_LPC:
+ *data_format = XTRACT_AUTOCORRELATION_COEFFS;
+ break;
+ case XTRACT_LPCC:
+ *data_format = XTRACT_LPC_COEFFS;
+ break;
+ case XTRACT_SPECTRAL_INHARMONICITY:
+ case XTRACT_HARMONIC_SPECTRUM:
+ *data_format = XTRACT_SPECTRAL_PEAKS;
+ break;
+ case XTRACT_NONZERO_COUNT:
+ *data_format = XTRACT_SPECTRAL_PEAKS_MAGNITUDES;
+ break;
+ case XTRACT_F0:
+ case XTRACT_FAILSAFE_F0:
+ case XTRACT_SPECTRUM:
+ case XTRACT_AUTOCORRELATION:
+ case XTRACT_AUTOCORRELATION_FFT:
+ case XTRACT_DCT:
+ case XTRACT_AMDF:
+ case XTRACT_ASDF:
+ case XTRACT_ZCR:
+ case XTRACT_RMS_AMPLITUDE:
+ case XTRACT_FLUX:
+ case XTRACT_LNORM:
+ *data_format = XTRACT_AUDIO_SAMPLES;
+ break;
+ case XTRACT_TONALITY:
+ case XTRACT_FLATNESS_DB:
+ *data_format = XTRACT_NO_DATA;
+ break;
+ case XTRACT_TRISTIMULUS_1:
+ case XTRACT_TRISTIMULUS_2:
+ case XTRACT_TRISTIMULUS_3:
+ case XTRACT_ODD_EVEN_RATIO:
+ *data_format = XTRACT_SPECTRAL_HARMONICS_MAGNITUDES;
+ break;
+ case XTRACT_LOUDNESS:
+ case XTRACT_SHARPNESS:
+ *data_format = XTRACT_BARK_COEFFS;
+ break;
+ case XTRACT_DIFFERENCE_VECTOR:
+ *data_format = XTRACT_SUBFRAMES;
+ break;
+ case XTRACT_ATTACK_TIME:
+ case XTRACT_DECAY_TIME:
+ default:
+ *data_format = XTRACT_NO_DATA;
+ break;
}
data_unit = &d->data.unit;
- switch(f){
+ switch(f)
+ {
- case XTRACT_MEAN:
- case XTRACT_VARIANCE:
- case XTRACT_STANDARD_DEVIATION:
- case XTRACT_AVERAGE_DEVIATION:
- case XTRACT_SKEWNESS:
- case XTRACT_KURTOSIS:
- case XTRACT_LOWEST_VALUE:
- case XTRACT_HIGHEST_VALUE:
- case XTRACT_SUM:
- case XTRACT_ZCR:
- case XTRACT_PEAK_SPECTRUM:
- case XTRACT_TRISTIMULUS_1:
- case XTRACT_TRISTIMULUS_2:
- case XTRACT_TRISTIMULUS_3:
- case XTRACT_DCT:
- case XTRACT_AMDF:
- case XTRACT_ASDF:
- case XTRACT_IRREGULARITY_K:
- case XTRACT_IRREGULARITY_J:
- case XTRACT_ATTACK_TIME:
- case XTRACT_DECAY_TIME:
- case XTRACT_DIFFERENCE_VECTOR:
- case XTRACT_FLUX:
- case XTRACT_LNORM:
- case XTRACT_F0:
- case XTRACT_FAILSAFE_F0:
- case XTRACT_MFCC:
- case XTRACT_AUTOCORRELATION:
- case XTRACT_AUTOCORRELATION_FFT:
- case XTRACT_ROLLOFF:
- case XTRACT_NOISINESS:
- case XTRACT_CREST:
- case XTRACT_FLATNESS:
- case XTRACT_FLATNESS_DB:
- case XTRACT_POWER:
- case XTRACT_BARK_COEFFICIENTS:
- case XTRACT_RMS_AMPLITUDE:
- case XTRACT_SMOOTHNESS:
- case XTRACT_SPREAD:
- case XTRACT_SHARPNESS:
- case XTRACT_HPS:
- case XTRACT_SPECTRUM:
- case XTRACT_TONALITY:
- case XTRACT_LOUDNESS:
- case XTRACT_NONZERO_COUNT:
- case XTRACT_LPC:
- case XTRACT_LPCC:
- case XTRACT_WINDOWED:
- case XTRACT_SUBBANDS:
- *data_unit = XTRACT_ANY;
- break;
- case XTRACT_SPECTRAL_MEAN:
- case XTRACT_SPECTRAL_VARIANCE:
- case XTRACT_SPECTRAL_STANDARD_DEVIATION:
+ case XTRACT_MEAN:
+ case XTRACT_VARIANCE:
+ case XTRACT_STANDARD_DEVIATION:
+ case XTRACT_AVERAGE_DEVIATION:
+ case XTRACT_SKEWNESS:
+ case XTRACT_KURTOSIS:
+ case XTRACT_LOWEST_VALUE:
+ case XTRACT_HIGHEST_VALUE:
+ case XTRACT_SUM:
+ case XTRACT_ZCR:
+ case XTRACT_PEAK_SPECTRUM:
+ case XTRACT_TRISTIMULUS_1:
+ case XTRACT_TRISTIMULUS_2:
+ case XTRACT_TRISTIMULUS_3:
+ case XTRACT_DCT:
+ case XTRACT_AMDF:
+ case XTRACT_ASDF:
+ case XTRACT_IRREGULARITY_K:
+ case XTRACT_IRREGULARITY_J:
+ case XTRACT_ATTACK_TIME:
+ case XTRACT_DECAY_TIME:
+ case XTRACT_DIFFERENCE_VECTOR:
+ case XTRACT_FLUX:
+ case XTRACT_LNORM:
+ case XTRACT_F0:
+ case XTRACT_FAILSAFE_F0:
+ case XTRACT_MFCC:
+ case XTRACT_AUTOCORRELATION:
+ case XTRACT_AUTOCORRELATION_FFT:
+ case XTRACT_ROLLOFF:
+ case XTRACT_NOISINESS:
+ case XTRACT_CREST:
+ case XTRACT_FLATNESS:
+ case XTRACT_FLATNESS_DB:
+ case XTRACT_POWER:
+ case XTRACT_BARK_COEFFICIENTS:
+ case XTRACT_RMS_AMPLITUDE:
+ case XTRACT_SMOOTHNESS:
+ case XTRACT_SPREAD:
+ case XTRACT_SHARPNESS:
+ case XTRACT_HPS:
+ case XTRACT_SPECTRUM:
+ case XTRACT_TONALITY:
+ case XTRACT_LOUDNESS:
+ case XTRACT_NONZERO_COUNT:
+ case XTRACT_LPC:
+ case XTRACT_LPCC:
+ case XTRACT_WINDOWED:
+ case XTRACT_SUBBANDS:
+ *data_unit = XTRACT_ANY;
+ break;
+ case XTRACT_SPECTRAL_MEAN:
+ case XTRACT_SPECTRAL_VARIANCE:
+ case XTRACT_SPECTRAL_STANDARD_DEVIATION:
/* case XTRACT_SPECTRAL_AVERAGE_DEVIATION: */
- case XTRACT_SPECTRAL_SKEWNESS:
- case XTRACT_SPECTRAL_KURTOSIS:
- case XTRACT_SPECTRAL_CENTROID:
- case XTRACT_SPECTRAL_SLOPE:
- case XTRACT_HARMONIC_SPECTRUM:
- case XTRACT_SPECTRAL_INHARMONICITY:
- *data_unit = XTRACT_ANY_AMPLITUDE_HERTZ;
- break;
- case XTRACT_ODD_EVEN_RATIO:
- *data_unit = XTRACT_HERTZ;
- break;
+ case XTRACT_SPECTRAL_SKEWNESS:
+ case XTRACT_SPECTRAL_KURTOSIS:
+ case XTRACT_SPECTRAL_CENTROID:
+ case XTRACT_SPECTRAL_SLOPE:
+ case XTRACT_HARMONIC_SPECTRUM:
+ case XTRACT_SPECTRAL_INHARMONICITY:
+ *data_unit = XTRACT_ANY_AMPLITUDE_HERTZ;
+ break;
+ case XTRACT_ODD_EVEN_RATIO:
+ *data_unit = XTRACT_HERTZ;
+ break;
}
name = d->algo.name;
@@ -456,864 +462,872 @@ xtract_function_descriptor_t *xtract_make_descriptors(void){
strcpy(author, "");
*year = 0;
- switch(f){
- case XTRACT_MEAN:
- strcpy(name, "mean");
- strcpy(p_name, "Mean");
- strcpy(desc, "Extract the mean of an input vector");
- strcpy(p_desc, "Extract the mean of a range of values");
- strcpy(author, "");
- break;
- case XTRACT_VARIANCE:
- strcpy(name, "variance");
- strcpy(p_name, "Variance");
- strcpy(desc, "Extract the variance of an input vector");
- strcpy(p_desc, "Extract the variance of a range of values");
- strcpy(author, "");
- break;
- case XTRACT_STANDARD_DEVIATION:
- strcpy(name, "standard_deviation");
- strcpy(p_name, "Standard Deviation");
- strcpy(desc,
- "Extract the standard deviation of an input vector");
- strcpy(p_desc,
- "Extract the standard deviation of a range of values");
- strcpy(author, "");
- break;
- case XTRACT_AVERAGE_DEVIATION:
- strcpy(name, "average_deviation");
- strcpy(p_name, "Average Deviation");
- strcpy(desc,
- "Extract the average deviation of an input vector");
- strcpy(p_desc,
- "Extract the average deviation of a range of values");
- strcpy(author, "");
- break;
- case XTRACT_SKEWNESS:
- strcpy(name, "skewness");
- strcpy(p_name, "Skewness");
- strcpy(desc,
- "Extract the skewness of an input vector");
- strcpy(p_desc,
- "Extract the skewness of a range of values");
- strcpy(author, "");
- break;
- case XTRACT_KURTOSIS:
- strcpy(name, "kurtosis");
- strcpy(p_name, "Kurtosis");
- strcpy(desc,
- "Extract the kurtosis of an input vector");
- strcpy(p_desc,
- "Extract the kurtosis of a range of values");
- strcpy(author, "");
- break;
- case XTRACT_SPECTRAL_MEAN:
- strcpy(name, "spectral_mean");
- strcpy(p_name, "Spectral Mean");
- strcpy(desc, "Extract the mean of an input spectrum");
- strcpy(p_desc, "Extract the mean of an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_SPECTRAL_VARIANCE:
- strcpy(name, "spectral_variance");
- strcpy(p_name, "Spectral Variance");
- strcpy(desc, "Extract the variance of an input spectrum");
- strcpy(p_desc, "Extract the variance of an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_SPECTRAL_STANDARD_DEVIATION:
- strcpy(name, "spectral_standard_deviation");
- strcpy(p_name, "Spectral Standard Deviation");
- strcpy(desc,
- "Extract the standard deviation of an input spectrum");
- strcpy(p_desc,
- "Extract the standard deviation of an audio spectrum");
- strcpy(author, "");
- break;
+ switch(f)
+ {
+ case XTRACT_MEAN:
+ strcpy(name, "mean");
+ strcpy(p_name, "Mean");
+ strcpy(desc, "Extract the mean of an input vector");
+ strcpy(p_desc, "Extract the mean of a range of values");
+ strcpy(author, "");
+ break;
+ case XTRACT_VARIANCE:
+ strcpy(name, "variance");
+ strcpy(p_name, "Variance");
+ strcpy(desc, "Extract the variance of an input vector");
+ strcpy(p_desc, "Extract the variance of a range of values");
+ strcpy(author, "");
+ break;
+ case XTRACT_STANDARD_DEVIATION:
+ strcpy(name, "standard_deviation");
+ strcpy(p_name, "Standard Deviation");
+ strcpy(desc,
+ "Extract the standard deviation of an input vector");
+ strcpy(p_desc,
+ "Extract the standard deviation of a range of values");
+ strcpy(author, "");
+ break;
+ case XTRACT_AVERAGE_DEVIATION:
+ strcpy(name, "average_deviation");
+ strcpy(p_name, "Average Deviation");
+ strcpy(desc,
+ "Extract the average deviation of an input vector");
+ strcpy(p_desc,
+ "Extract the average deviation of a range of values");
+ strcpy(author, "");
+ break;
+ case XTRACT_SKEWNESS:
+ strcpy(name, "skewness");
+ strcpy(p_name, "Skewness");
+ strcpy(desc,
+ "Extract the skewness of an input vector");
+ strcpy(p_desc,
+ "Extract the skewness of a range of values");
+ strcpy(author, "");
+ break;
+ case XTRACT_KURTOSIS:
+ strcpy(name, "kurtosis");
+ strcpy(p_name, "Kurtosis");
+ strcpy(desc,
+ "Extract the kurtosis of an input vector");
+ strcpy(p_desc,
+ "Extract the kurtosis of a range of values");
+ strcpy(author, "");
+ break;
+ case XTRACT_SPECTRAL_MEAN:
+ strcpy(name, "spectral_mean");
+ strcpy(p_name, "Spectral Mean");
+ strcpy(desc, "Extract the mean of an input spectrum");
+ strcpy(p_desc, "Extract the mean of an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_SPECTRAL_VARIANCE:
+ strcpy(name, "spectral_variance");
+ strcpy(p_name, "Spectral Variance");
+ strcpy(desc, "Extract the variance of an input spectrum");
+ strcpy(p_desc, "Extract the variance of an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_SPECTRAL_STANDARD_DEVIATION:
+ strcpy(name, "spectral_standard_deviation");
+ strcpy(p_name, "Spectral Standard Deviation");
+ strcpy(desc,
+ "Extract the standard deviation of an input spectrum");
+ strcpy(p_desc,
+ "Extract the standard deviation of an audio spectrum");
+ strcpy(author, "");
+ break;
/* case XTRACT_SPECTRAL_AVERAGE_DEVIATION:
strcpy(name, "spectral_average_deviation");
strcpy(p_name, "Spectral Average Deviation");
- strcpy(desc,
+ strcpy(desc,
"Extract the average deviation of an input spectrum");
- strcpy(p_desc,
+ strcpy(p_desc,
"Extract the average deviation of an audio spectrum");
strcpy(author, "");
break;
*/
- case XTRACT_ROLLOFF:
- strcpy(name, "rolloff");
- strcpy(p_name, "Spectral Rolloff");
- strcpy(desc,
- "Extract the rolloff point of a spectrum");
- strcpy(p_desc,
- "Extract the rolloff point of an audio spectrum");
- strcpy(author, "Bee Suan Ong");
- *year = 2005;
- break;
- case XTRACT_SPECTRAL_INHARMONICITY:
- strcpy(name, "spectral_inharmonicity");
- strcpy(p_name, "Inharmonicity");
- strcpy(desc, "Extract the inharmonicity of a spectrum");
- strcpy(p_desc,
- "Extract the inharmonicity of an audio spectrum");
- break;
- case XTRACT_SPECTRUM:
- strcpy(name, "spectrum");
- strcpy(p_name, "Spectrum");
- strcpy(desc,
- "Extract the spectrum of an input vector");
- strcpy(p_desc,
- "Extract the spectrum of an audio signal");
- strcpy(author, "");
- break;
- case XTRACT_ODD_EVEN_RATIO:
- strcpy(name, "odd_even_ratio");
- strcpy(p_name, "Odd/even Harmonic Ratio");
- strcpy(desc,
- "Extract the odd-to-even harmonic ratio of a spectrum");
- strcpy(p_desc,
- "Extract the odd-to-even harmonic ratio of an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_LOWEST_VALUE:
- strcpy(name, "lowest_value");
- strcpy(p_name, "Lowest Value");
- strcpy(desc, "Extract the lowest value from an input vector");
- strcpy(p_desc, "Extract the lowest value from a given range");
- strcpy(author, "");
- break;
- case XTRACT_F0:
- strcpy(name, "f0");
- strcpy(p_name, "Fundamental Frequency");
- strcpy(desc, "Extract the fundamental frequency of a signal");
- strcpy(p_desc,
- "Extract the fundamental frequency of an audio signal");
- strcpy(author, "Jamie Bullock");
- break;
- case XTRACT_FAILSAFE_F0:
- strcpy(name, "failsafe_f0");
- strcpy(p_name, "Fundamental Frequency (failsafe)");
- strcpy(desc, "Extract the fundamental frequency of a signal (failsafe)");
- strcpy(p_desc,
- "Extract the fundamental frequency of an audio signal (failsafe)");
- strcpy(author, "Jamie Bullock");
- break;
- case XTRACT_TONALITY:
- strcpy(name, "tonality");
- strcpy(p_name, "Tonality");
- strcpy(desc, "Extract the tonality of a spectrum");
- strcpy(p_desc, "Extract the tonality an audio spectrum");
- strcpy(author, "J. D. Johnston");
- *year = 1988;
- break;
- case XTRACT_SPECTRAL_SKEWNESS:
- strcpy(name, "spectral_skewness");
- strcpy(p_name, "Spectral Skewness");
- strcpy(desc, "Extract the skewness of an input spectrum");
- strcpy(p_desc, "Extract the skewness of an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_SPECTRAL_KURTOSIS:
- strcpy(name, "spectral_kurtosis");
- strcpy(p_name, "Spectral Kurtosis");
- strcpy(desc, "Extract the kurtosis of an input spectrum");
- strcpy(p_desc, "Extract the kurtosis of an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_PEAK_SPECTRUM:
- strcpy(name, "peak_spectrum");
- strcpy(p_name, "Peak Spectrum");
- strcpy(desc, "Extract the spectral peaks from of a spectrum");
- strcpy(p_desc,
- "Extract the spectral peaks from an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_HARMONIC_SPECTRUM:
- strcpy(name, "harmonic_spectrum");
- strcpy(p_name, "Harmonic Spectrum");
- strcpy(desc, "Extract the harmonics from a spectrum");
- strcpy(p_desc, "Extract the harmonics from an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_NOISINESS:
- strcpy(name, "noisiness");
- strcpy(p_name, "Noisiness");
- strcpy(desc, "Extract the noisiness of a spectrum");
- strcpy(p_desc, "Extract the noisiness of an audio spectrum");
- strcpy(author, "Tae Hong Park");
- *year = 2000;
- break;
- case XTRACT_CREST:
- strcpy(name, "crest");
- strcpy(p_name, "Spectral Crest Measure");
- strcpy(desc,
- "Extract the spectral crest measure of a spectrum");
- strcpy(p_desc,
- "Extract the spectral crest measure of an audio spectrum");
- strcpy(author, "Peeters");
- *year = 2003;
- break;
- case XTRACT_MFCC:
- strcpy(name, "mfcc");
- strcpy(p_name, "Mel-Frequency Cepstral Coefficients");
- strcpy(desc, "Extract MFCC from a spectrum");
- strcpy(p_desc, "Extract MFCC from an audio spectrum");
- strcpy(author, "Rabiner");
- break;
- case XTRACT_LPC:
- strcpy(name, "lpc");
- strcpy(p_name, "Linear predictive coding coefficients");
- strcpy(desc, "Extract LPC from autocorrelation coefficients");
- strcpy(p_desc,
- "Extract LPC from autocorrelation coefficients");
- strcpy(author,
- "Rabiner and Juang as implemented by Jutta Degener");
- *year = 1994;
- break;
- case XTRACT_LPCC:
- strcpy(name, "lpcc");
- strcpy(p_name, "Linear predictive coding cepstral coefficients");
- strcpy(desc, "Extract LPC cepstrum from LPC coefficients");
- strcpy(p_desc,
- "Extract LPC cepstrum from LPC coefficients");
- strcpy(author, "Rabiner and Juang");
- *year = 1993;
- break;
- case XTRACT_SUBBANDS:
- strcpy(name, "subbands");
- strcpy(p_name, "Sub band coefficients");
- strcpy(desc, "Extract subband coefficients from spectral magnitudes");
- strcpy(p_desc,
- "Extract subband coefficients from spectral magnitudes");
- strcpy(author, "");
- break;
- case XTRACT_BARK_COEFFICIENTS:
- strcpy(name, "bark_coefficients");
- strcpy(p_name, "Bark Coefficients");
- strcpy(desc, "Extract bark coefficients from a spectrum");
- strcpy(p_desc,
- "Extract bark coefficients from an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_SPECTRAL_CENTROID:
- strcpy(name, "spectral_centroid");
- strcpy(p_name, "Spectral Centroid");
- strcpy(desc, "Extract the spectral centroid of a spectrum");
- strcpy(p_desc,
- "Extract the spectral centroid of an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_IRREGULARITY_K:
- strcpy(name, "irregularity_k");
- strcpy(p_name, "Irregularity I");
- strcpy(desc, "Extract the irregularity (type I) of a spectrum");
- strcpy(p_desc,
- "Extract the irregularity (type I) of an audio spectrum");
- strcpy(author, "Krimphoff");
- *year = 1994;
- break;
- case XTRACT_IRREGULARITY_J:
- strcpy(name, "irregularity_j");
- strcpy(p_name, "Irregularity II");
- strcpy(desc, "Extract the irregularity (type II) of a spectrum");
- strcpy(p_desc,
- "Extract the irregularity (type II) of an audio spectrum");
- strcpy(author, "Jensen");
- *year = 1999;
- break;
- case XTRACT_TRISTIMULUS_1:
- strcpy(name, "tristimulus_1");
- strcpy(p_name, "Tristimulus I");
- strcpy(desc, "Extract the tristimulus (type I) of a spectrum");
- strcpy(p_desc,
- "Extract the tristimulus (type I) of an audio spectrum");
- strcpy(author, "Pollard and Jansson");
- *year = 1982;
- break;
- case XTRACT_TRISTIMULUS_2:
- strcpy(name, "tristimulus_2");
- strcpy(p_name, "Tristimulus II");
- strcpy(desc, "Extract the tristimulus (type II) of a spectrum");
- strcpy(p_desc,
- "Extract the tristimulus (type II) of an audio spectrum");
- strcpy(author, "Pollard and Jansson");
- *year = 1982;
- break;
- case XTRACT_TRISTIMULUS_3:
- strcpy(name, "tristimulus_3");
- strcpy(p_name, "Tristimulus III");
- strcpy(desc,
- "Extract the tristimulus (type III) of a spectrum");
- strcpy(p_desc,
- "Extract the tristimulus (type III) of an audio spectrum");
- strcpy(author, "Pollard and Jansson");
- *year = 1982;
- break;
- case XTRACT_SMOOTHNESS:
- strcpy(name, "smoothness");
- strcpy(p_name, "Spectral Smoothness");
- strcpy(desc, "Extract the spectral smoothness of a spectrum");
- strcpy(p_desc,
- "Extract the spectral smoothness of an audio spectrum");
- strcpy(author, "McAdams");
- *year = 1999;
- break;
- case XTRACT_FLATNESS:
- strcpy(name, "flatness");
- strcpy(p_name, "Spectral Flatness");
- strcpy(desc, "Extract the spectral flatness of a spectrum");
- strcpy(p_desc,
- "Extract the spectral flatness of an audio spectrum");
- strcpy(author, "Tristan Jehan");
- *year = 2005;
- break;
- case XTRACT_FLATNESS_DB:
- strcpy(name, "flatness_db");
- strcpy(p_name, "Log Spectral Flatness");
- strcpy(desc, "Extract the log spectral flatness of a spectrum");
- strcpy(p_desc,
- "Extract the log spectral flatness of an audio spectrum");
- strcpy(author, "Peeters");
- *year = 2003;
- break;
- case XTRACT_SPREAD:
- strcpy(name, "spread");
- strcpy(p_name, "Spectral Spread");
- strcpy(desc, "Extract the spectral spread of a spectrum");
- strcpy(p_desc,
- "Extract the spectral spread of an audio spectrum");
- strcpy(author, "Norman Casagrande");
- *year = 2005;
- break;
- case XTRACT_ZCR:
- strcpy(name, "zcr");
- strcpy(p_name, "Zero Crossing Rate");
- strcpy(desc, "Extract the zero crossing rate of a vector");
- strcpy(p_desc,
- "Extract the zero crossing rate of an audio signal");
- strcpy(author, "");
- break;
- case XTRACT_LOUDNESS:
- strcpy(name, "loudness");
- strcpy(p_name, "Loudness");
- strcpy(desc,
- "Extract the loudness of a signal from its spectrum");
- strcpy(p_desc,
- "Extract the loudness of an audio signal from its spectrum");
- strcpy(author, "Moore, Glasberg et al");
- *year = 2005;
- break;
- case XTRACT_HIGHEST_VALUE:
- strcpy(name, "highest_value");
- strcpy(p_name, "Highest Value");
- strcpy(desc, "Extract the highest value from an input vector");
- strcpy(p_desc, "Extract the highest value from a given range");
- strcpy(author, "");
- break;
- case XTRACT_SUM:
- strcpy(name, "sum");
- strcpy(p_name, "Sum of Values");
- strcpy(desc,
- "Extract the sum of the values in an input vector");
- strcpy(p_desc,
- "Extract the sum of the values in a given range");
- strcpy(author, "");
- break;
- case XTRACT_RMS_AMPLITUDE:
- strcpy(name, "rms_amplitude");
- strcpy(p_name, "RMS Amplitude");
- strcpy(desc, "Extract the RMS amplitude of a signal");
- strcpy(p_desc, "Extract the RMS amplitude of an audio signal");
- strcpy(author, "");
- break;
- case XTRACT_POWER:
- strcpy(name, "power");
- strcpy(p_name, "Spectral Power");
- strcpy(desc, "Extract the spectral power of a spectrum");
- strcpy(p_desc,
- "Extract the spectral power of an audio spectrum");
- strcpy(author, "Bee Suan Ong");
- *year = 2005;
- break;
- case XTRACT_SHARPNESS:
- strcpy(name, "sharpness");
- strcpy(p_name, "Spectral Sharpness");
- strcpy(desc, "Extract the spectral sharpness of a spectrum");
- strcpy(p_desc,
- "Extract the spectral sharpness of an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_SPECTRAL_SLOPE:
- strcpy(name, "spectral_slope");
- strcpy(p_name, "Spectral Slope");
- strcpy(desc, "Extract the spectral slope of a spectrum");
- strcpy(p_desc,
- "Extract the spectral slope of an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_HPS:
- strcpy(name, "hps");
- strcpy(p_name, "Harmonic Product Spectrum");
- strcpy(desc,
- "Extract the harmonic product spectrum of a spectrum");
- strcpy(p_desc,
- "Extract the harmonic product spectrum of an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_FLUX:
- strcpy(name, "flux");
- strcpy(p_name, "Spectral Flux");
- strcpy(desc, "Extract the spectral flux of a spectrum");
- strcpy(p_desc,
- "Extract the spectral flux of an audio spectrum");
- strcpy(author, "");
- break;
- case XTRACT_LNORM:
- strcpy(name, "lnorm");
- strcpy(p_name, "L-norm");
- strcpy(desc, "Extract the L-norm of a vector");
- strcpy(p_desc, "Extract the L-norm of a vector");
- strcpy(author, "");
- break;
- case XTRACT_ATTACK_TIME:
- strcpy(name, "attack_time");
- strcpy(p_name, "Attack Time");
- strcpy(desc, "Extract the attack time of a signal");
- strcpy(p_desc, "Extract the attack time of an audio signal");
- strcpy(author, "");
- break;
- case XTRACT_DECAY_TIME:
- strcpy(name, "decay_time");
- strcpy(p_name, "Decay Time");
- strcpy(desc, "Extract the decay time of a signal");
- strcpy(p_desc, "Extract the decay time of an audio signal");
- strcpy(author, "");
- break;
- case XTRACT_DIFFERENCE_VECTOR:
- strcpy(name, "difference_vector");
- strcpy(p_name, "Difference vector");
- strcpy(desc, "Extract the difference between two vectors");
- strcpy(p_desc, "Extract the difference between two vectors");
- strcpy(author, "");
- break;
- case XTRACT_AUTOCORRELATION_FFT:
- strcpy(name, "autocorrelation_fft");
- strcpy(p_name, "Autocorrelation (FFT method)");
- strcpy(desc, "Extract the autocorrelation of a signal (fft method)");
- strcpy(p_desc, "Extract the autocorrelation of an audio signal (fft method)");
- strcpy(author, "");
- break;
- case XTRACT_DCT:
- strcpy(name, "dct");
- strcpy(p_name, "Discrete Cosine Transform");
- strcpy(desc, "Extract the DCT of a signal");
- strcpy(p_desc, "Extract the DCT of an audio signal");
- strcpy(author, "");
- break;
- case XTRACT_AUTOCORRELATION:
- strcpy(name, "autocorrelation");
- strcpy(p_name, "Autocorrelation");
- strcpy(desc, "Extract the autocorrelation of a signal");
- strcpy(p_desc,
- "Extract the autocorrelation of an audio signal");
- strcpy(author, "");
- break;
- case XTRACT_AMDF:
- strcpy(name, "amdf");
- strcpy(p_name, "Average Magnitude Difference Function");
- strcpy(desc, "Extract the AMDF of a signal");
- strcpy(p_desc, "Extract the AMDF of an audio signal");
- strcpy(author, "");
- break;
- case XTRACT_ASDF:
- strcpy(name, "asdf");
- strcpy(p_name, "Average Squared Difference Function");
- strcpy(desc, "Extract the ASDF of a signal");
- strcpy(p_desc, "Extract the ASDF of an audio signal");
- strcpy(author, "");
- break;
- case XTRACT_NONZERO_COUNT:
- strcpy(name, "nonzero_count");
- strcpy(p_name, "Non-zero count");
- strcpy(desc,
- "Extract the number of non-zero elements in the input vector");
- strcpy(p_desc,
- "Extract the number of non-zero elements in an input spectrum");
- strcpy(author, "");
- break;
- case XTRACT_WINDOWED:
- strcpy(name, "windowed");
- strcpy(p_name, "Windowed frame");
- strcpy(desc, "Apply a window function to a frame of data");
- strcpy(p_desc, "Apply a window function to a frame of data");
- strcpy(author, "");
- break;
- default:
- strcpy(name, "");
- strcpy(p_name, "");
- strcpy(desc, "");
- strcpy(p_desc, "");
- strcpy(author, "");
- break;
+ case XTRACT_ROLLOFF:
+ strcpy(name, "rolloff");
+ strcpy(p_name, "Spectral Rolloff");
+ strcpy(desc,
+ "Extract the rolloff point of a spectrum");
+ strcpy(p_desc,
+ "Extract the rolloff point of an audio spectrum");
+ strcpy(author, "Bee Suan Ong");
+ *year = 2005;
+ break;
+ case XTRACT_SPECTRAL_INHARMONICITY:
+ strcpy(name, "spectral_inharmonicity");
+ strcpy(p_name, "Inharmonicity");
+ strcpy(desc, "Extract the inharmonicity of a spectrum");
+ strcpy(p_desc,
+ "Extract the inharmonicity of an audio spectrum");
+ break;
+ case XTRACT_SPECTRUM:
+ strcpy(name, "spectrum");
+ strcpy(p_name, "Spectrum");
+ strcpy(desc,
+ "Extract the spectrum of an input vector");
+ strcpy(p_desc,
+ "Extract the spectrum of an audio signal");
+ strcpy(author, "");
+ break;
+ case XTRACT_ODD_EVEN_RATIO:
+ strcpy(name, "odd_even_ratio");
+ strcpy(p_name, "Odd/even Harmonic Ratio");
+ strcpy(desc,
+ "Extract the odd-to-even harmonic ratio of a spectrum");
+ strcpy(p_desc,
+ "Extract the odd-to-even harmonic ratio of an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_LOWEST_VALUE:
+ strcpy(name, "lowest_value");
+ strcpy(p_name, "Lowest Value");
+ strcpy(desc, "Extract the lowest value from an input vector");
+ strcpy(p_desc, "Extract the lowest value from a given range");
+ strcpy(author, "");
+ break;
+ case XTRACT_F0:
+ strcpy(name, "f0");
+ strcpy(p_name, "Fundamental Frequency");
+ strcpy(desc, "Extract the fundamental frequency of a signal");
+ strcpy(p_desc,
+ "Extract the fundamental frequency of an audio signal");
+ strcpy(author, "Jamie Bullock");
+ break;
+ case XTRACT_FAILSAFE_F0:
+ strcpy(name, "failsafe_f0");
+ strcpy(p_name, "Fundamental Frequency (failsafe)");
+ strcpy(desc, "Extract the fundamental frequency of a signal (failsafe)");
+ strcpy(p_desc,
+ "Extract the fundamental frequency of an audio signal (failsafe)");
+ strcpy(author, "Jamie Bullock");
+ break;
+ case XTRACT_TONALITY:
+ strcpy(name, "tonality");
+ strcpy(p_name, "Tonality");
+ strcpy(desc, "Extract the tonality of a spectrum");
+ strcpy(p_desc, "Extract the tonality an audio spectrum");
+ strcpy(author, "J. D. Johnston");
+ *year = 1988;
+ break;
+ case XTRACT_SPECTRAL_SKEWNESS:
+ strcpy(name, "spectral_skewness");
+ strcpy(p_name, "Spectral Skewness");
+ strcpy(desc, "Extract the skewness of an input spectrum");
+ strcpy(p_desc, "Extract the skewness of an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_SPECTRAL_KURTOSIS:
+ strcpy(name, "spectral_kurtosis");
+ strcpy(p_name, "Spectral Kurtosis");
+ strcpy(desc, "Extract the kurtosis of an input spectrum");
+ strcpy(p_desc, "Extract the kurtosis of an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_PEAK_SPECTRUM:
+ strcpy(name, "peak_spectrum");
+ strcpy(p_name, "Peak Spectrum");
+ strcpy(desc, "Extract the spectral peaks from of a spectrum");
+ strcpy(p_desc,
+ "Extract the spectral peaks from an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_HARMONIC_SPECTRUM:
+ strcpy(name, "harmonic_spectrum");
+ strcpy(p_name, "Harmonic Spectrum");
+ strcpy(desc, "Extract the harmonics from a spectrum");
+ strcpy(p_desc, "Extract the harmonics from an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_NOISINESS:
+ strcpy(name, "noisiness");
+ strcpy(p_name, "Noisiness");
+ strcpy(desc, "Extract the noisiness of a spectrum");
+ strcpy(p_desc, "Extract the noisiness of an audio spectrum");
+ strcpy(author, "Tae Hong Park");
+ *year = 2000;
+ break;
+ case XTRACT_CREST:
+ strcpy(name, "crest");
+ strcpy(p_name, "Spectral Crest Measure");
+ strcpy(desc,
+ "Extract the spectral crest measure of a spectrum");
+ strcpy(p_desc,
+ "Extract the spectral crest measure of an audio spectrum");
+ strcpy(author, "Peeters");
+ *year = 2003;
+ break;
+ case XTRACT_MFCC:
+ strcpy(name, "mfcc");
+ strcpy(p_name, "Mel-Frequency Cepstral Coefficients");
+ strcpy(desc, "Extract MFCC from a spectrum");
+ strcpy(p_desc, "Extract MFCC from an audio spectrum");
+ strcpy(author, "Rabiner");
+ break;
+ case XTRACT_LPC:
+ strcpy(name, "lpc");
+ strcpy(p_name, "Linear predictive coding coefficients");
+ strcpy(desc, "Extract LPC from autocorrelation coefficients");
+ strcpy(p_desc,
+ "Extract LPC from autocorrelation coefficients");
+ strcpy(author,
+ "Rabiner and Juang as implemented by Jutta Degener");
+ *year = 1994;
+ break;
+ case XTRACT_LPCC:
+ strcpy(name, "lpcc");
+ strcpy(p_name, "Linear predictive coding cepstral coefficients");
+ strcpy(desc, "Extract LPC cepstrum from LPC coefficients");
+ strcpy(p_desc,
+ "Extract LPC cepstrum from LPC coefficients");
+ strcpy(author, "Rabiner and Juang");
+ *year = 1993;
+ break;
+ case XTRACT_SUBBANDS:
+ strcpy(name, "subbands");
+ strcpy(p_name, "Sub band coefficients");
+ strcpy(desc, "Extract subband coefficients from spectral magnitudes");
+ strcpy(p_desc,
+ "Extract subband coefficients from spectral magnitudes");
+ strcpy(author, "");
+ break;
+ case XTRACT_BARK_COEFFICIENTS:
+ strcpy(name, "bark_coefficients");
+ strcpy(p_name, "Bark Coefficients");
+ strcpy(desc, "Extract bark coefficients from a spectrum");
+ strcpy(p_desc,
+ "Extract bark coefficients from an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_SPECTRAL_CENTROID:
+ strcpy(name, "spectral_centroid");
+ strcpy(p_name, "Spectral Centroid");
+ strcpy(desc, "Extract the spectral centroid of a spectrum");
+ strcpy(p_desc,
+ "Extract the spectral centroid of an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_IRREGULARITY_K:
+ strcpy(name, "irregularity_k");
+ strcpy(p_name, "Irregularity I");
+ strcpy(desc, "Extract the irregularity (type I) of a spectrum");
+ strcpy(p_desc,
+ "Extract the irregularity (type I) of an audio spectrum");
+ strcpy(author, "Krimphoff");
+ *year = 1994;
+ break;
+ case XTRACT_IRREGULARITY_J:
+ strcpy(name, "irregularity_j");
+ strcpy(p_name, "Irregularity II");
+ strcpy(desc, "Extract the irregularity (type II) of a spectrum");
+ strcpy(p_desc,
+ "Extract the irregularity (type II) of an audio spectrum");
+ strcpy(author, "Jensen");
+ *year = 1999;
+ break;
+ case XTRACT_TRISTIMULUS_1:
+ strcpy(name, "tristimulus_1");
+ strcpy(p_name, "Tristimulus I");
+ strcpy(desc, "Extract the tristimulus (type I) of a spectrum");
+ strcpy(p_desc,
+ "Extract the tristimulus (type I) of an audio spectrum");
+ strcpy(author, "Pollard and Jansson");
+ *year = 1982;
+ break;
+ case XTRACT_TRISTIMULUS_2:
+ strcpy(name, "tristimulus_2");
+ strcpy(p_name, "Tristimulus II");
+ strcpy(desc, "Extract the tristimulus (type II) of a spectrum");
+ strcpy(p_desc,
+ "Extract the tristimulus (type II) of an audio spectrum");
+ strcpy(author, "Pollard and Jansson");
+ *year = 1982;
+ break;
+ case XTRACT_TRISTIMULUS_3:
+ strcpy(name, "tristimulus_3");
+ strcpy(p_name, "Tristimulus III");
+ strcpy(desc,
+ "Extract the tristimulus (type III) of a spectrum");
+ strcpy(p_desc,
+ "Extract the tristimulus (type III) of an audio spectrum");
+ strcpy(author, "Pollard and Jansson");
+ *year = 1982;
+ break;
+ case XTRACT_SMOOTHNESS:
+ strcpy(name, "smoothness");
+ strcpy(p_name, "Spectral Smoothness");
+ strcpy(desc, "Extract the spectral smoothness of a spectrum");
+ strcpy(p_desc,
+ "Extract the spectral smoothness of an audio spectrum");
+ strcpy(author, "McAdams");
+ *year = 1999;
+ break;
+ case XTRACT_FLATNESS:
+ strcpy(name, "flatness");
+ strcpy(p_name, "Spectral Flatness");
+ strcpy(desc, "Extract the spectral flatness of a spectrum");
+ strcpy(p_desc,
+ "Extract the spectral flatness of an audio spectrum");
+ strcpy(author, "Tristan Jehan");
+ *year = 2005;
+ break;
+ case XTRACT_FLATNESS_DB:
+ strcpy(name, "flatness_db");
+ strcpy(p_name, "Log Spectral Flatness");
+ strcpy(desc, "Extract the log spectral flatness of a spectrum");
+ strcpy(p_desc,
+ "Extract the log spectral flatness of an audio spectrum");
+ strcpy(author, "Peeters");
+ *year = 2003;
+ break;
+ case XTRACT_SPREAD:
+ strcpy(name, "spread");
+ strcpy(p_name, "Spectral Spread");
+ strcpy(desc, "Extract the spectral spread of a spectrum");
+ strcpy(p_desc,
+ "Extract the spectral spread of an audio spectrum");
+ strcpy(author, "Norman Casagrande");
+ *year = 2005;
+ break;
+ case XTRACT_ZCR:
+ strcpy(name, "zcr");
+ strcpy(p_name, "Zero Crossing Rate");
+ strcpy(desc, "Extract the zero crossing rate of a vector");
+ strcpy(p_desc,
+ "Extract the zero crossing rate of an audio signal");
+ strcpy(author, "");
+ break;
+ case XTRACT_LOUDNESS:
+ strcpy(name, "loudness");
+ strcpy(p_name, "Loudness");
+ strcpy(desc,
+ "Extract the loudness of a signal from its spectrum");
+ strcpy(p_desc,
+ "Extract the loudness of an audio signal from its spectrum");
+ strcpy(author, "Moore, Glasberg et al");
+ *year = 2005;
+ break;
+ case XTRACT_HIGHEST_VALUE:
+ strcpy(name, "highest_value");
+ strcpy(p_name, "Highest Value");
+ strcpy(desc, "Extract the highest value from an input vector");
+ strcpy(p_desc, "Extract the highest value from a given range");
+ strcpy(author, "");
+ break;
+ case XTRACT_SUM:
+ strcpy(name, "sum");
+ strcpy(p_name, "Sum of Values");
+ strcpy(desc,
+ "Extract the sum of the values in an input vector");
+ strcpy(p_desc,
+ "Extract the sum of the values in a given range");
+ strcpy(author, "");
+ break;
+ case XTRACT_RMS_AMPLITUDE:
+ strcpy(name, "rms_amplitude");
+ strcpy(p_name, "RMS Amplitude");
+ strcpy(desc, "Extract the RMS amplitude of a signal");
+ strcpy(p_desc, "Extract the RMS amplitude of an audio signal");
+ strcpy(author, "");
+ break;
+ case XTRACT_POWER:
+ strcpy(name, "power");
+ strcpy(p_name, "Spectral Power");
+ strcpy(desc, "Extract the spectral power of a spectrum");
+ strcpy(p_desc,
+ "Extract the spectral power of an audio spectrum");
+ strcpy(author, "Bee Suan Ong");
+ *year = 2005;
+ break;
+ case XTRACT_SHARPNESS:
+ strcpy(name, "sharpness");
+ strcpy(p_name, "Spectral Sharpness");
+ strcpy(desc, "Extract the spectral sharpness of a spectrum");
+ strcpy(p_desc,
+ "Extract the spectral sharpness of an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_SPECTRAL_SLOPE:
+ strcpy(name, "spectral_slope");
+ strcpy(p_name, "Spectral Slope");
+ strcpy(desc, "Extract the spectral slope of a spectrum");
+ strcpy(p_desc,
+ "Extract the spectral slope of an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_HPS:
+ strcpy(name, "hps");
+ strcpy(p_name, "Harmonic Product Spectrum");
+ strcpy(desc,
+ "Extract the harmonic product spectrum of a spectrum");
+ strcpy(p_desc,
+ "Extract the harmonic product spectrum of an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_FLUX:
+ strcpy(name, "flux");
+ strcpy(p_name, "Spectral Flux");
+ strcpy(desc, "Extract the spectral flux of a spectrum");
+ strcpy(p_desc,
+ "Extract the spectral flux of an audio spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_LNORM:
+ strcpy(name, "lnorm");
+ strcpy(p_name, "L-norm");
+ strcpy(desc, "Extract the L-norm of a vector");
+ strcpy(p_desc, "Extract the L-norm of a vector");
+ strcpy(author, "");
+ break;
+ case XTRACT_ATTACK_TIME:
+ strcpy(name, "attack_time");
+ strcpy(p_name, "Attack Time");
+ strcpy(desc, "Extract the attack time of a signal");
+ strcpy(p_desc, "Extract the attack time of an audio signal");
+ strcpy(author, "");
+ break;
+ case XTRACT_DECAY_TIME:
+ strcpy(name, "decay_time");
+ strcpy(p_name, "Decay Time");
+ strcpy(desc, "Extract the decay time of a signal");
+ strcpy(p_desc, "Extract the decay time of an audio signal");
+ strcpy(author, "");
+ break;
+ case XTRACT_DIFFERENCE_VECTOR:
+ strcpy(name, "difference_vector");
+ strcpy(p_name, "Difference vector");
+ strcpy(desc, "Extract the difference between two vectors");
+ strcpy(p_desc, "Extract the difference between two vectors");
+ strcpy(author, "");
+ break;
+ case XTRACT_AUTOCORRELATION_FFT:
+ strcpy(name, "autocorrelation_fft");
+ strcpy(p_name, "Autocorrelation (FFT method)");
+ strcpy(desc, "Extract the autocorrelation of a signal (fft method)");
+ strcpy(p_desc, "Extract the autocorrelation of an audio signal (fft method)");
+ strcpy(author, "");
+ break;
+ case XTRACT_DCT:
+ strcpy(name, "dct");
+ strcpy(p_name, "Discrete Cosine Transform");
+ strcpy(desc, "Extract the DCT of a signal");
+ strcpy(p_desc, "Extract the DCT of an audio signal");
+ strcpy(author, "");
+ break;
+ case XTRACT_AUTOCORRELATION:
+ strcpy(name, "autocorrelation");
+ strcpy(p_name, "Autocorrelation");
+ strcpy(desc, "Extract the autocorrelation of a signal");
+ strcpy(p_desc,
+ "Extract the autocorrelation of an audio signal");
+ strcpy(author, "");
+ break;
+ case XTRACT_AMDF:
+ strcpy(name, "amdf");
+ strcpy(p_name, "Average Magnitude Difference Function");
+ strcpy(desc, "Extract the AMDF of a signal");
+ strcpy(p_desc, "Extract the AMDF of an audio signal");
+ strcpy(author, "");
+ break;
+ case XTRACT_ASDF:
+ strcpy(name, "asdf");
+ strcpy(p_name, "Average Squared Difference Function");
+ strcpy(desc, "Extract the ASDF of a signal");
+ strcpy(p_desc, "Extract the ASDF of an audio signal");
+ strcpy(author, "");
+ break;
+ case XTRACT_NONZERO_COUNT:
+ strcpy(name, "nonzero_count");
+ strcpy(p_name, "Non-zero count");
+ strcpy(desc,
+ "Extract the number of non-zero elements in the input vector");
+ strcpy(p_desc,
+ "Extract the number of non-zero elements in an input spectrum");
+ strcpy(author, "");
+ break;
+ case XTRACT_WINDOWED:
+ strcpy(name, "windowed");
+ strcpy(p_name, "Windowed frame");
+ strcpy(desc, "Apply a window function to a frame of data");
+ strcpy(p_desc, "Apply a window function to a frame of data");
+ strcpy(author, "");
+ break;
+ default:
+ strcpy(name, "");
+ strcpy(p_name, "");
+ strcpy(desc, "");
+ strcpy(p_desc, "");
+ strcpy(author, "");
+ break;
}
- switch(f){
+ switch(f)
+ {
- case XTRACT_VARIANCE:
- case XTRACT_STANDARD_DEVIATION:
- case XTRACT_AVERAGE_DEVIATION:
- case XTRACT_SPECTRAL_VARIANCE:
- case XTRACT_SPECTRAL_STANDARD_DEVIATION:
+ case XTRACT_VARIANCE:
+ case XTRACT_STANDARD_DEVIATION:
+ case XTRACT_AVERAGE_DEVIATION:
+ case XTRACT_SPECTRAL_VARIANCE:
+ case XTRACT_SPECTRAL_STANDARD_DEVIATION:
/* case XTRACT_SPECTRAL_AVERAGE_DEVIATION: */
- case XTRACT_SPECTRAL_INHARMONICITY:
- case XTRACT_LOWEST_VALUE:
- case XTRACT_F0:
- case XTRACT_FAILSAFE_F0:
- case XTRACT_FLATNESS_DB:
- case XTRACT_TONALITY:
- *argc = 1;
- *argv_type = XTRACT_FLOAT;
- break;
- case XTRACT_SKEWNESS:
- case XTRACT_KURTOSIS:
- case XTRACT_SPECTRAL_SKEWNESS:
- case XTRACT_SPECTRAL_KURTOSIS:
- case XTRACT_PEAK_SPECTRUM:
- case XTRACT_HARMONIC_SPECTRUM:
- case XTRACT_NOISINESS:
- case XTRACT_CREST:
- case XTRACT_ROLLOFF:
- case XTRACT_FLUX:
- case XTRACT_LNORM:
- *argc = 2;
- *argv_type = XTRACT_FLOAT;
- break;
- case XTRACT_SPECTRUM:
- *argc = 4;
- *argv_type = XTRACT_FLOAT;
- break;
- case XTRACT_SUBBANDS:
- *argc = 4;
- *argv_type = XTRACT_INT;
- break;
- case XTRACT_MFCC:
- *argc = 1;
- *argv_type = XTRACT_MEL_FILTER;
- break;
- case XTRACT_LPCC:
- *argc = 1;
- *argv_type = XTRACT_INT;
- break;
- case XTRACT_BARK_COEFFICIENTS:
- *argc = XTRACT_BARK_BANDS;
- *argv_type = XTRACT_INT;
- break;
- case XTRACT_WINDOWED:
- *argc = XTRACT_WINDOW_SIZE;
- *argv_type = XTRACT_FLOAT;
- break;
- case XTRACT_MEAN:
- case XTRACT_SPECTRAL_MEAN:
- case XTRACT_SPECTRAL_CENTROID:
- case XTRACT_IRREGULARITY_K:
- case XTRACT_IRREGULARITY_J:
- case XTRACT_TRISTIMULUS_1:
- case XTRACT_TRISTIMULUS_2:
- case XTRACT_TRISTIMULUS_3:
- case XTRACT_SMOOTHNESS:
- case XTRACT_FLATNESS:
- case XTRACT_SPREAD:
- case XTRACT_ZCR:
- case XTRACT_LOUDNESS:
- case XTRACT_HIGHEST_VALUE:
- case XTRACT_SUM:
- case XTRACT_RMS_AMPLITUDE:
- case XTRACT_POWER:
- case XTRACT_SHARPNESS:
- case XTRACT_SPECTRAL_SLOPE:
- case XTRACT_HPS:
- case XTRACT_ATTACK_TIME:
- case XTRACT_DECAY_TIME:
- case XTRACT_DIFFERENCE_VECTOR:
- case XTRACT_AUTOCORRELATION_FFT:
- case XTRACT_DCT:
- case XTRACT_AUTOCORRELATION:
- case XTRACT_AMDF:
- case XTRACT_ASDF:
- case XTRACT_NONZERO_COUNT:
- case XTRACT_ODD_EVEN_RATIO:
- case XTRACT_LPC:
- default:
- *argc = 0;
- break;
+ case XTRACT_SPECTRAL_INHARMONICITY:
+ case XTRACT_LOWEST_VALUE:
+ case XTRACT_F0:
+ case XTRACT_FAILSAFE_F0:
+ case XTRACT_FLATNESS_DB:
+ case XTRACT_TONALITY:
+ *argc = 1;
+ *argv_type = XTRACT_FLOAT;
+ break;
+ case XTRACT_SKEWNESS:
+ case XTRACT_KURTOSIS:
+ case XTRACT_SPECTRAL_SKEWNESS:
+ case XTRACT_SPECTRAL_KURTOSIS:
+ case XTRACT_PEAK_SPECTRUM:
+ case XTRACT_HARMONIC_SPECTRUM:
+ case XTRACT_NOISINESS:
+ case XTRACT_CREST:
+ case XTRACT_ROLLOFF:
+ case XTRACT_FLUX:
+ case XTRACT_LNORM:
+ *argc = 2;
+ *argv_type = XTRACT_FLOAT;
+ break;
+ case XTRACT_SPECTRUM:
+ *argc = 4;
+ *argv_type = XTRACT_FLOAT;
+ break;
+ case XTRACT_SUBBANDS:
+ *argc = 4;
+ *argv_type = XTRACT_INT;
+ break;
+ case XTRACT_MFCC:
+ *argc = 1;
+ *argv_type = XTRACT_MEL_FILTER;
+ break;
+ case XTRACT_LPCC:
+ *argc = 1;
+ *argv_type = XTRACT_INT;
+ break;
+ case XTRACT_BARK_COEFFICIENTS:
+ *argc = XTRACT_BARK_BANDS;
+ *argv_type = XTRACT_INT;
+ break;
+ case XTRACT_WINDOWED:
+ *argc = XTRACT_WINDOW_SIZE;
+ *argv_type = XTRACT_FLOAT;
+ break;
+ case XTRACT_MEAN:
+ case XTRACT_SPECTRAL_MEAN:
+ case XTRACT_SPECTRAL_CENTROID:
+ case XTRACT_IRREGULARITY_K:
+ case XTRACT_IRREGULARITY_J:
+ case XTRACT_TRISTIMULUS_1:
+ case XTRACT_TRISTIMULUS_2:
+ case XTRACT_TRISTIMULUS_3:
+ case XTRACT_SMOOTHNESS:
+ case XTRACT_FLATNESS:
+ case XTRACT_SPREAD:
+ case XTRACT_ZCR:
+ case XTRACT_LOUDNESS:
+ case XTRACT_HIGHEST_VALUE:
+ case XTRACT_SUM:
+ case XTRACT_RMS_AMPLITUDE:
+ case XTRACT_POWER:
+ case XTRACT_SHARPNESS:
+ case XTRACT_SPECTRAL_SLOPE:
+ case XTRACT_HPS:
+ case XTRACT_ATTACK_TIME:
+ case XTRACT_DECAY_TIME:
+ case XTRACT_DIFFERENCE_VECTOR:
+ case XTRACT_AUTOCORRELATION_FFT:
+ case XTRACT_DCT:
+ case XTRACT_AUTOCORRELATION:
+ case XTRACT_AMDF:
+ case XTRACT_ASDF:
+ case XTRACT_NONZERO_COUNT:
+ case XTRACT_ODD_EVEN_RATIO:
+ case XTRACT_LPC:
+ default:
+ *argc = 0;
+ break;
}
is_scalar = &d->is_scalar;
- switch(f){
+ switch(f)
+ {
+ case XTRACT_MEAN:
+ case XTRACT_VARIANCE:
+ case XTRACT_STANDARD_DEVIATION:
+ case XTRACT_AVERAGE_DEVIATION:
+ case XTRACT_SKEWNESS:
+ case XTRACT_KURTOSIS:
+ case XTRACT_SPECTRAL_MEAN:
+ case XTRACT_SPECTRAL_VARIANCE:
+ case XTRACT_SPECTRAL_STANDARD_DEVIATION:
+ /* case XTRACT_SPECTRAL_AVERAGE_DEVIATION: */
+ case XTRACT_SPECTRAL_SKEWNESS:
+ case XTRACT_SPECTRAL_KURTOSIS:
+ case XTRACT_SPECTRAL_CENTROID:
+ case XTRACT_IRREGULARITY_K:
+ case XTRACT_IRREGULARITY_J:
+ case XTRACT_TRISTIMULUS_1:
+ case XTRACT_TRISTIMULUS_2:
+ case XTRACT_TRISTIMULUS_3:
+ case XTRACT_SMOOTHNESS:
+ case XTRACT_SPREAD:
+ case XTRACT_ZCR:
+ case XTRACT_ROLLOFF:
+ case XTRACT_LOUDNESS:
+ case XTRACT_FLATNESS:
+ case XTRACT_FLATNESS_DB:
+ case XTRACT_TONALITY:
+ case XTRACT_CREST:
+ case XTRACT_NOISINESS:
+ case XTRACT_RMS_AMPLITUDE:
+ case XTRACT_SPECTRAL_INHARMONICITY:
+ case XTRACT_POWER:
+ case XTRACT_ODD_EVEN_RATIO:
+ case XTRACT_SHARPNESS:
+ case XTRACT_SPECTRAL_SLOPE:
+ case XTRACT_LOWEST_VALUE:
+ case XTRACT_HIGHEST_VALUE:
+ case XTRACT_SUM:
+ case XTRACT_HPS:
+ case XTRACT_F0:
+ case XTRACT_FAILSAFE_F0:
+ case XTRACT_FLUX:
+ case XTRACT_LNORM:
+ case XTRACT_NONZERO_COUNT:
+ *is_scalar = XTRACT_TRUE;
+ break;
+ case XTRACT_AUTOCORRELATION:
+ case XTRACT_AMDF:
+ case XTRACT_ASDF:
+ case XTRACT_BARK_COEFFICIENTS:
+ case XTRACT_PEAK_SPECTRUM:
+ case XTRACT_SPECTRUM:
+ case XTRACT_SUBBANDS:
+ case XTRACT_AUTOCORRELATION_FFT:
+ case XTRACT_MFCC:
+ case XTRACT_LPC:
+ case XTRACT_LPCC:
+ case XTRACT_DCT:
+ case XTRACT_HARMONIC_SPECTRUM:
+ case XTRACT_DIFFERENCE_VECTOR:
+ case XTRACT_WINDOWED:
+ *is_scalar = XTRACT_FALSE;
+ break;
+ default:
+ *is_scalar = XTRACT_TRUE;
+ break;
+
+ }
+
+ is_delta = &d->is_delta;
+
+ switch(f)
+ {
+ case XTRACT_FLUX:
+ case XTRACT_LNORM:
+ case XTRACT_DIFFERENCE_VECTOR:
+ *is_delta = XTRACT_TRUE;
+ break;
+ case XTRACT_MEAN:
+ case XTRACT_VARIANCE:
+ case XTRACT_STANDARD_DEVIATION:
+ case XTRACT_AVERAGE_DEVIATION:
+ case XTRACT_SKEWNESS:
+ case XTRACT_KURTOSIS:
+ case XTRACT_SPECTRAL_MEAN:
+ case XTRACT_SPECTRAL_VARIANCE:
+ case XTRACT_SPECTRAL_STANDARD_DEVIATION:
+ /* case XTRACT_SPECTRAL_AVERAGE_DEVIATION: */
+ case XTRACT_SPECTRAL_SKEWNESS:
+ case XTRACT_SPECTRAL_KURTOSIS:
+ case XTRACT_SPECTRAL_CENTROID:
+ case XTRACT_IRREGULARITY_K:
+ case XTRACT_IRREGULARITY_J:
+ case XTRACT_TRISTIMULUS_1:
+ case XTRACT_TRISTIMULUS_2:
+ case XTRACT_TRISTIMULUS_3:
+ case XTRACT_SMOOTHNESS:
+ case XTRACT_SPREAD:
+ case XTRACT_ZCR:
+ case XTRACT_ROLLOFF:
+ case XTRACT_LOUDNESS:
+ case XTRACT_FLATNESS:
+ case XTRACT_FLATNESS_DB:
+ case XTRACT_TONALITY:
+ case XTRACT_CREST:
+ case XTRACT_NOISINESS:
+ case XTRACT_RMS_AMPLITUDE:
+ case XTRACT_SPECTRAL_INHARMONICITY:
+ case XTRACT_POWER:
+ case XTRACT_ODD_EVEN_RATIO:
+ case XTRACT_SHARPNESS:
+ case XTRACT_SPECTRAL_SLOPE:
+ case XTRACT_LOWEST_VALUE:
+ case XTRACT_HIGHEST_VALUE:
+ case XTRACT_SUM:
+ case XTRACT_HPS:
+ case XTRACT_F0:
+ case XTRACT_FAILSAFE_F0:
+ case XTRACT_NONZERO_COUNT:
+ case XTRACT_AUTOCORRELATION:
+ case XTRACT_AMDF:
+ case XTRACT_ASDF:
+ case XTRACT_BARK_COEFFICIENTS:
+ case XTRACT_PEAK_SPECTRUM:
+ case XTRACT_SPECTRUM:
+ case XTRACT_SUBBANDS:
+ case XTRACT_AUTOCORRELATION_FFT:
+ case XTRACT_MFCC:
+ case XTRACT_LPC:
+ case XTRACT_LPCC:
+ case XTRACT_DCT:
+ case XTRACT_HARMONIC_SPECTRUM:
+ case XTRACT_WINDOWED:
+ default:
+ *is_delta = XTRACT_FALSE;
+ break;
+ }
+
+ if(*is_scalar)
+ {
+
+ result_unit = &d->result.scalar.unit;
+ result_min = &d->result.scalar.min;
+ result_max = &d->result.scalar.max;
+
+ switch(f)
+ {
case XTRACT_MEAN:
case XTRACT_VARIANCE:
case XTRACT_STANDARD_DEVIATION:
case XTRACT_AVERAGE_DEVIATION:
case XTRACT_SKEWNESS:
case XTRACT_KURTOSIS:
- case XTRACT_SPECTRAL_MEAN:
- case XTRACT_SPECTRAL_VARIANCE:
- case XTRACT_SPECTRAL_STANDARD_DEVIATION:
- /* case XTRACT_SPECTRAL_AVERAGE_DEVIATION: */
- case XTRACT_SPECTRAL_SKEWNESS:
- case XTRACT_SPECTRAL_KURTOSIS:
- case XTRACT_SPECTRAL_CENTROID:
- case XTRACT_IRREGULARITY_K:
- case XTRACT_IRREGULARITY_J:
- case XTRACT_TRISTIMULUS_1:
- case XTRACT_TRISTIMULUS_2:
- case XTRACT_TRISTIMULUS_3:
- case XTRACT_SMOOTHNESS:
- case XTRACT_SPREAD:
- case XTRACT_ZCR:
- case XTRACT_ROLLOFF:
- case XTRACT_LOUDNESS:
- case XTRACT_FLATNESS:
- case XTRACT_FLATNESS_DB:
- case XTRACT_TONALITY:
- case XTRACT_CREST:
- case XTRACT_NOISINESS:
case XTRACT_RMS_AMPLITUDE:
- case XTRACT_SPECTRAL_INHARMONICITY:
- case XTRACT_POWER:
- case XTRACT_ODD_EVEN_RATIO:
- case XTRACT_SHARPNESS:
- case XTRACT_SPECTRAL_SLOPE:
case XTRACT_LOWEST_VALUE:
case XTRACT_HIGHEST_VALUE:
case XTRACT_SUM:
- case XTRACT_HPS:
- case XTRACT_F0:
- case XTRACT_FAILSAFE_F0:
case XTRACT_FLUX:
case XTRACT_LNORM:
case XTRACT_NONZERO_COUNT:
- *is_scalar = XTRACT_TRUE;
- break;
- case XTRACT_AUTOCORRELATION:
- case XTRACT_AMDF:
- case XTRACT_ASDF:
- case XTRACT_BARK_COEFFICIENTS:
- case XTRACT_PEAK_SPECTRUM:
- case XTRACT_SPECTRUM:
- case XTRACT_SUBBANDS:
- case XTRACT_AUTOCORRELATION_FFT:
- case XTRACT_MFCC:
- case XTRACT_LPC:
- case XTRACT_LPCC:
- case XTRACT_DCT:
- case XTRACT_HARMONIC_SPECTRUM:
- case XTRACT_DIFFERENCE_VECTOR:
case XTRACT_WINDOWED:
- *is_scalar = XTRACT_FALSE;
- break;
- default:
- *is_scalar = XTRACT_TRUE;
- break;
-
- }
-
- is_delta = &d->is_delta;
-
- switch(f){
- case XTRACT_FLUX:
- case XTRACT_LNORM:
- case XTRACT_DIFFERENCE_VECTOR:
- *is_delta = XTRACT_TRUE;
+ *result_unit = XTRACT_ANY;
+ *result_min = XTRACT_ANY;
+ *result_max = XTRACT_ANY;
break;
- case XTRACT_MEAN:
- case XTRACT_VARIANCE:
- case XTRACT_STANDARD_DEVIATION:
- case XTRACT_AVERAGE_DEVIATION:
- case XTRACT_SKEWNESS:
- case XTRACT_KURTOSIS:
- case XTRACT_SPECTRAL_MEAN:
- case XTRACT_SPECTRAL_VARIANCE:
- case XTRACT_SPECTRAL_STANDARD_DEVIATION:
- /* case XTRACT_SPECTRAL_AVERAGE_DEVIATION: */
case XTRACT_SPECTRAL_SKEWNESS:
case XTRACT_SPECTRAL_KURTOSIS:
- case XTRACT_SPECTRAL_CENTROID:
case XTRACT_IRREGULARITY_K:
case XTRACT_IRREGULARITY_J:
case XTRACT_TRISTIMULUS_1:
case XTRACT_TRISTIMULUS_2:
case XTRACT_TRISTIMULUS_3:
+ case XTRACT_NOISINESS:
case XTRACT_SMOOTHNESS:
+ *result_unit = XTRACT_NONE;
+ *result_min = XTRACT_ANY; /* FIX: need to check these */
+ *result_max = XTRACT_ANY;
+ break;
+ case XTRACT_SPECTRAL_MEAN:
+ case XTRACT_SPECTRAL_VARIANCE:
+ case XTRACT_SPECTRAL_STANDARD_DEVIATION:
+ /* case XTRACT_SPECTRAL_AVERAGE_DEVIATION: */
+ case XTRACT_SPECTRAL_CENTROID:
case XTRACT_SPREAD:
- case XTRACT_ZCR:
+ case XTRACT_F0:
+ case XTRACT_FAILSAFE_F0:
+ case XTRACT_HPS:
case XTRACT_ROLLOFF:
+ *result_unit = XTRACT_HERTZ;
+ *result_min = 0.f;
+ *result_max = XTRACT_SR_UPPER_LIMIT / 2;
+ break;
+ case XTRACT_ZCR:
+ *result_unit = XTRACT_HERTZ;
+ *result_min = 0.f;
+ *result_max = XTRACT_ANY;
+ break;
+ case XTRACT_ODD_EVEN_RATIO:
+ *result_unit = XTRACT_NONE;
+ *result_min = 0.f;
+ *result_max = 1.f;
+ break;
+ case XTRACT_FLATNESS_DB:
+ *result_unit = XTRACT_DBFS;
+ *result_min = XTRACT_ANY; /* FIX: check this */
+ *result_max = XTRACT_ANY;
+ break;
case XTRACT_LOUDNESS:
case XTRACT_FLATNESS:
- case XTRACT_FLATNESS_DB:
case XTRACT_TONALITY:
case XTRACT_CREST:
- case XTRACT_NOISINESS:
- case XTRACT_RMS_AMPLITUDE:
case XTRACT_SPECTRAL_INHARMONICITY:
case XTRACT_POWER:
- case XTRACT_ODD_EVEN_RATIO:
case XTRACT_SHARPNESS:
case XTRACT_SPECTRAL_SLOPE:
- case XTRACT_LOWEST_VALUE:
- case XTRACT_HIGHEST_VALUE:
- case XTRACT_SUM:
- case XTRACT_HPS:
- case XTRACT_F0:
- case XTRACT_FAILSAFE_F0:
- case XTRACT_NONZERO_COUNT:
- case XTRACT_AUTOCORRELATION:
- case XTRACT_AMDF:
- case XTRACT_ASDF:
- case XTRACT_BARK_COEFFICIENTS:
- case XTRACT_PEAK_SPECTRUM:
- case XTRACT_SPECTRUM:
- case XTRACT_SUBBANDS:
- case XTRACT_AUTOCORRELATION_FFT:
- case XTRACT_MFCC:
case XTRACT_LPC:
case XTRACT_LPCC:
- case XTRACT_DCT:
- case XTRACT_HARMONIC_SPECTRUM:
- case XTRACT_WINDOWED:
default:
- *is_delta = XTRACT_FALSE;
+ *result_unit = XTRACT_UNKNOWN;
+ *result_min = XTRACT_UNKNOWN;
+ *result_max = XTRACT_UNKNOWN;
break;
- }
-
- if(*is_scalar){
-
- result_unit = &d->result.scalar.unit;
- result_min = &d->result.scalar.min;
- result_max = &d->result.scalar.max;
-
- switch(f){
- case XTRACT_MEAN:
- case XTRACT_VARIANCE:
- case XTRACT_STANDARD_DEVIATION:
- case XTRACT_AVERAGE_DEVIATION:
- case XTRACT_SKEWNESS:
- case XTRACT_KURTOSIS:
- case XTRACT_RMS_AMPLITUDE:
- case XTRACT_LOWEST_VALUE:
- case XTRACT_HIGHEST_VALUE:
- case XTRACT_SUM:
- case XTRACT_FLUX:
- case XTRACT_LNORM:
- case XTRACT_NONZERO_COUNT:
- case XTRACT_WINDOWED:
- *result_unit = XTRACT_ANY;
- *result_min = XTRACT_ANY;
- *result_max = XTRACT_ANY;
- break;
- case XTRACT_SPECTRAL_SKEWNESS:
- case XTRACT_SPECTRAL_KURTOSIS:
- case XTRACT_IRREGULARITY_K:
- case XTRACT_IRREGULARITY_J:
- case XTRACT_TRISTIMULUS_1:
- case XTRACT_TRISTIMULUS_2:
- case XTRACT_TRISTIMULUS_3:
- case XTRACT_NOISINESS:
- case XTRACT_SMOOTHNESS:
- *result_unit = XTRACT_NONE;
- *result_min = XTRACT_ANY; /* FIX: need to check these */
- *result_max = XTRACT_ANY;
- break;
- case XTRACT_SPECTRAL_MEAN:
- case XTRACT_SPECTRAL_VARIANCE:
- case XTRACT_SPECTRAL_STANDARD_DEVIATION:
- /* case XTRACT_SPECTRAL_AVERAGE_DEVIATION: */
- case XTRACT_SPECTRAL_CENTROID:
- case XTRACT_SPREAD:
- case XTRACT_F0:
- case XTRACT_FAILSAFE_F0:
- case XTRACT_HPS:
- case XTRACT_ROLLOFF:
- *result_unit = XTRACT_HERTZ;
- *result_min = 0.f;
- *result_max = XTRACT_SR_UPPER_LIMIT / 2;
- break;
- case XTRACT_ZCR:
- *result_unit = XTRACT_HERTZ;
- *result_min = 0.f;
- *result_max = XTRACT_ANY;
- break;
- case XTRACT_ODD_EVEN_RATIO:
- *result_unit = XTRACT_NONE;
- *result_min = 0.f;
- *result_max = 1.f;
- break;
- case XTRACT_FLATNESS_DB:
- *result_unit = XTRACT_DBFS;
- *result_min = XTRACT_ANY; /* FIX: check this */
- *result_max = XTRACT_ANY;
- break;
- case XTRACT_LOUDNESS:
- case XTRACT_FLATNESS:
- case XTRACT_TONALITY:
- case XTRACT_CREST:
- case XTRACT_SPECTRAL_INHARMONICITY:
- case XTRACT_POWER:
- case XTRACT_SHARPNESS:
- case XTRACT_SPECTRAL_SLOPE:
- case XTRACT_LPC:
- case XTRACT_LPCC:
- default:
- *result_unit = XTRACT_UNKNOWN;
- *result_min = XTRACT_UNKNOWN;
- *result_max = XTRACT_UNKNOWN;
- break;
}
}
- else {
+ else
+ {
result_min = NULL;
result_max = NULL;
result_unit = &d->result.vector.unit;
result_format = &d->result.vector.format;
- switch(f) {
- case XTRACT_AUTOCORRELATION:
- case XTRACT_AMDF:
- case XTRACT_ASDF:
- case XTRACT_DCT:
- case XTRACT_SUBBANDS:
- case XTRACT_WINDOWED:
- *result_format = XTRACT_ARBITRARY_SERIES;
- *result_unit = XTRACT_ANY;
- break;
- case XTRACT_BARK_COEFFICIENTS:
- *result_format = XTRACT_BARK_COEFFS;
- *result_unit = XTRACT_UNKNOWN; /* FIX: check */
- break;
- case XTRACT_PEAK_SPECTRUM:
- case XTRACT_SPECTRUM:
- case XTRACT_HARMONIC_SPECTRUM:
- *result_format = XTRACT_SPECTRAL;
- *result_unit = XTRACT_ANY_AMPLITUDE_HERTZ;
- break;
- case XTRACT_AUTOCORRELATION_FFT:
- break;
- case XTRACT_MFCC:
- *result_format = XTRACT_MEL_COEFFS;
- *result_unit = XTRACT_UNKNOWN; /* FIX: check */
- break;
- case XTRACT_LPC:
- *result_format = XTRACT_LPC_COEFFS;
- *result_unit = XTRACT_UNKNOWN;
- break;
- case XTRACT_LPCC:
- *result_format = XTRACT_LPCC_COEFFS;
- *result_unit = XTRACT_UNKNOWN;
- break;
- default:
- break;
+ switch(f)
+ {
+ case XTRACT_AUTOCORRELATION:
+ case XTRACT_AMDF:
+ case XTRACT_ASDF:
+ case XTRACT_DCT:
+ case XTRACT_SUBBANDS:
+ case XTRACT_WINDOWED:
+ *result_format = XTRACT_ARBITRARY_SERIES;
+ *result_unit = XTRACT_ANY;
+ break;
+ case XTRACT_BARK_COEFFICIENTS:
+ *result_format = XTRACT_BARK_COEFFS;
+ *result_unit = XTRACT_UNKNOWN; /* FIX: check */
+ break;
+ case XTRACT_PEAK_SPECTRUM:
+ case XTRACT_SPECTRUM:
+ case XTRACT_HARMONIC_SPECTRUM:
+ *result_format = XTRACT_SPECTRAL;
+ *result_unit = XTRACT_ANY_AMPLITUDE_HERTZ;
+ break;
+ case XTRACT_AUTOCORRELATION_FFT:
+ break;
+ case XTRACT_MFCC:
+ *result_format = XTRACT_MEL_COEFFS;
+ *result_unit = XTRACT_UNKNOWN; /* FIX: check */
+ break;
+ case XTRACT_LPC:
+ *result_format = XTRACT_LPC_COEFFS;
+ *result_unit = XTRACT_UNKNOWN;
+ break;
+ case XTRACT_LPCC:
+ *result_format = XTRACT_LPCC_COEFFS;
+ *result_unit = XTRACT_UNKNOWN;
+ break;
+ default:
+ break;
}
}
}
@@ -1321,9 +1335,11 @@ xtract_function_descriptor_t *xtract_make_descriptors(void){
return fd;
}
-int xtract_free_descriptors(xtract_function_descriptor_t *fd){
+int xtract_free_descriptors(xtract_function_descriptor_t *fd)
+{
- if (fd != NULL) {
+ if (fd != NULL)
+ {
free(fd);
}
diff --git a/src/fftsg.c b/src/fftsg.c
new file mode 100644
index 0000000..0f3092b
--- /dev/null
+++ b/src/fftsg.c
@@ -0,0 +1,3492 @@
+/*
+Fast Fourier/Cosine/Sine Transform
+ dimension :one
+ data length :power of 2
+ decimation :frequency
+ radix :split-radix
+ data :inplace
+ table :use
+functions
+ cdft: Complex Discrete Fourier Transform
+ rdft: Real Discrete Fourier Transform
+ ddct: Discrete Cosine Transform
+ ddst: Discrete Sine Transform
+ dfct: Cosine Transform of RDFT (Real Symmetric DFT)
+ dfst: Sine Transform of RDFT (Real Anti-symmetric DFT)
+function prototypes
+ void cdft(int, int, double *, int *, double *);
+ void rdft(int, int, double *, int *, double *);
+ void ddct(int, int, double *, int *, double *);
+ void ddst(int, int, double *, int *, double *);
+ void dfct(int, double *, double *, int *, double *);
+ void dfst(int, double *, double *, int *, double *);
+macro definitions
+ USE_CDFT_PTHREADS : default=not defined
+ CDFT_THREADS_BEGIN_N : must be >= 512, default=8192
+ CDFT_4THREADS_BEGIN_N : must be >= 512, default=65536
+ USE_CDFT_WINTHREADS : default=not defined
+ CDFT_THREADS_BEGIN_N : must be >= 512, default=32768
+ CDFT_4THREADS_BEGIN_N : must be >= 512, default=524288
+
+
+-------- Complex DFT (Discrete Fourier Transform) --------
+ [definition]
+ <case1>
+ X[k] = sum_j=0^n-1 x[j]*exp(2*pi*i*j*k/n), 0<=k<n
+ <case2>
+ X[k] = sum_j=0^n-1 x[j]*exp(-2*pi*i*j*k/n), 0<=k<n
+ (notes: sum_j=0^n-1 is a summation from j=0 to n-1)
+ [usage]
+ <case1>
+ ip[0] = 0; // first time only
+ cdft(2*n, 1, a, ip, w);
+ <case2>
+ ip[0] = 0; // first time only
+ cdft(2*n, -1, a, ip, w);
+ [parameters]
+ 2*n :data length (int)
+ n >= 1, n = power of 2
+ a[0...2*n-1] :input/output data (double *)
+ input data
+ a[2*j] = Re(x[j]),
+ a[2*j+1] = Im(x[j]), 0<=j<n
+ output data
+ a[2*k] = Re(X[k]),
+ a[2*k+1] = Im(X[k]), 0<=k<n
+ ip[0...*] :work area for bit reversal (int *)
+ length of ip >= 2+sqrt(n)
+ strictly,
+ length of ip >=
+ 2+(1<<(int)(log(n+0.5)/log(2))/2).
+ ip[0],ip[1] are pointers of the cos/sin table.
+ w[0...n/2-1] :cos/sin table (double *)
+ w[],ip[] are initialized if ip[0] == 0.
+ [remark]
+ Inverse of
+ cdft(2*n, -1, a, ip, w);
+ is
+ cdft(2*n, 1, a, ip, w);
+ for (j = 0; j <= 2 * n - 1; j++) {
+ a[j] *= 1.0 / n;
+ }
+ .
+
+
+-------- Real DFT / Inverse of Real DFT --------
+ [definition]
+ <case1> RDFT
+ R[k] = sum_j=0^n-1 a[j]*cos(2*pi*j*k/n), 0<=k<=n/2
+ I[k] = sum_j=0^n-1 a[j]*sin(2*pi*j*k/n), 0<k<n/2
+ <case2> IRDFT (excluding scale)
+ a[k] = (R[0] + R[n/2]*cos(pi*k))/2 +
+ sum_j=1^n/2-1 R[j]*cos(2*pi*j*k/n) +
+ sum_j=1^n/2-1 I[j]*sin(2*pi*j*k/n), 0<=k<n
+ [usage]
+ <case1>
+ ip[0] = 0; // first time only
+ rdft(n, 1, a, ip, w);
+ <case2>
+ ip[0] = 0; // first time only
+ rdft(n, -1, a, ip, w);
+ [parameters]
+ n :data length (int)
+ n >= 2, n = power of 2
+ a[0...n-1] :input/output data (double *)
+ <case1>
+ output data
+ a[2*k] = R[k], 0<=k<n/2
+ a[2*k+1] = I[k], 0<k<n/2
+ a[1] = R[n/2]
+ <case2>
+ input data
+ a[2*j] = R[j], 0<=j<n/2
+ a[2*j+1] = I[j], 0<j<n/2
+ a[1] = R[n/2]
+ ip[0...*] :work area for bit reversal (int *)
+ length of ip >= 2+sqrt(n/2)
+ strictly,
+ length of ip >=
+ 2+(1<<(int)(log(n/2+0.5)/log(2))/2).
+ ip[0],ip[1] are pointers of the cos/sin table.
+ w[0...n/2-1] :cos/sin table (double *)
+ w[],ip[] are initialized if ip[0] == 0.
+ [remark]
+ Inverse of
+ rdft(n, 1, a, ip, w);
+ is
+ rdft(n, -1, a, ip, w);
+ for (j = 0; j <= n - 1; j++) {
+ a[j] *= 2.0 / n;
+ }
+ .
+
+
+-------- DCT (Discrete Cosine Transform) / Inverse of DCT --------
+ [definition]
+ <case1> IDCT (excluding scale)
+ C[k] = sum_j=0^n-1 a[j]*cos(pi*j*(k+1/2)/n), 0<=k<n
+ <case2> DCT
+ C[k] = sum_j=0^n-1 a[j]*cos(pi*(j+1/2)*k/n), 0<=k<n
+ [usage]
+ <case1>
+ ip[0] = 0; // first time only
+ ddct(n, 1, a, ip, w);
+ <case2>
+ ip[0] = 0; // first time only
+ ddct(n, -1, a, ip, w);
+ [parameters]
+ n :data length (int)
+ n >= 2, n = power of 2
+ a[0...n-1] :input/output data (double *)
+ output data
+ a[k] = C[k], 0<=k<n
+ ip[0...*] :work area for bit reversal (int *)
+ length of ip >= 2+sqrt(n/2)
+ strictly,
+ length of ip >=
+ 2+(1<<(int)(log(n/2+0.5)/log(2))/2).
+ ip[0],ip[1] are pointers of the cos/sin table.
+ w[0...n*5/4-1] :cos/sin table (double *)
+ w[],ip[] are initialized if ip[0] == 0.
+ [remark]
+ Inverse of
+ ddct(n, -1, a, ip, w);
+ is
+ a[0] *= 0.5;
+ ddct(n, 1, a, ip, w);
+ for (j = 0; j <= n - 1; j++) {
+ a[j] *= 2.0 / n;
+ }
+ .
+
+
+-------- DST (Discrete Sine Transform) / Inverse of DST --------
+ [definition]
+ <case1> IDST (excluding scale)
+ S[k] = sum_j=1^n A[j]*sin(pi*j*(k+1/2)/n), 0<=k<n
+ <case2> DST
+ S[k] = sum_j=0^n-1 a[j]*sin(pi*(j+1/2)*k/n), 0<k<=n
+ [usage]
+ <case1>
+ ip[0] = 0; // first time only
+ ddst(n, 1, a, ip, w);
+ <case2>
+ ip[0] = 0; // first time only
+ ddst(n, -1, a, ip, w);
+ [parameters]
+ n :data length (int)
+ n >= 2, n = power of 2
+ a[0...n-1] :input/output data (double *)
+ <case1>
+ input data
+ a[j] = A[j], 0<j<n
+ a[0] = A[n]
+ output data
+ a[k] = S[k], 0<=k<n
+ <case2>
+ output data
+ a[k] = S[k], 0<k<n
+ a[0] = S[n]
+ ip[0...*] :work area for bit reversal (int *)
+ length of ip >= 2+sqrt(n/2)
+ strictly,
+ length of ip >=
+ 2+(1<<(int)(log(n/2+0.5)/log(2))/2).
+ ip[0],ip[1] are pointers of the cos/sin table.
+ w[0...n*5/4-1] :cos/sin table (double *)
+ w[],ip[] are initialized if ip[0] == 0.
+ [remark]
+ Inverse of
+ ddst(n, -1, a, ip, w);
+ is
+ a[0] *= 0.5;
+ ddst(n, 1, a, ip, w);
+ for (j = 0; j <= n - 1; j++) {
+ a[j] *= 2.0 / n;
+ }
+ .
+
+
+-------- Cosine Transform of RDFT (Real Symmetric DFT) --------
+ [definition]
+ C[k] = sum_j=0^n a[j]*cos(pi*j*k/n), 0<=k<=n
+ [usage]
+ ip[0] = 0; // first time only
+ dfct(n, a, t, ip, w);
+ [parameters]
+ n :data length - 1 (int)
+ n >= 2, n = power of 2
+ a[0...n] :input/output data (double *)
+ output data
+ a[k] = C[k], 0<=k<=n
+ t[0...n/2] :work area (double *)
+ ip[0...*] :work area for bit reversal (int *)
+ length of ip >= 2+sqrt(n/4)
+ strictly,
+ length of ip >=
+ 2+(1<<(int)(log(n/4+0.5)/log(2))/2).
+ ip[0],ip[1] are pointers of the cos/sin table.
+ w[0...n*5/8-1] :cos/sin table (double *)
+ w[],ip[] are initialized if ip[0] == 0.
+ [remark]
+ Inverse of
+ a[0] *= 0.5;
+ a[n] *= 0.5;
+ dfct(n, a, t, ip, w);
+ is
+ a[0] *= 0.5;
+ a[n] *= 0.5;
+ dfct(n, a, t, ip, w);
+ for (j = 0; j <= n; j++) {
+ a[j] *= 2.0 / n;
+ }
+ .
+
+
+-------- Sine Transform of RDFT (Real Anti-symmetric DFT) --------
+ [definition]
+ S[k] = sum_j=1^n-1 a[j]*sin(pi*j*k/n), 0<k<n
+ [usage]
+ ip[0] = 0; // first time only
+ dfst(n, a, t, ip, w);
+ [parameters]
+ n :data length + 1 (int)
+ n >= 2, n = power of 2
+ a[0...n-1] :input/output data (double *)
+ output data
+ a[k] = S[k], 0<k<n
+ (a[0] is used for work area)
+ t[0...n/2-1] :work area (double *)
+ ip[0...*] :work area for bit reversal (int *)
+ length of ip >= 2+sqrt(n/4)
+ strictly,
+ length of ip >=
+ 2+(1<<(int)(log(n/4+0.5)/log(2))/2).
+ ip[0],ip[1] are pointers of the cos/sin table.
+ w[0...n*5/8-1] :cos/sin table (double *)
+ w[],ip[] are initialized if ip[0] == 0.
+ [remark]
+ Inverse of
+ dfst(n, a, t, ip, w);
+ is
+ dfst(n, a, t, ip, w);
+ for (j = 1; j <= n - 1; j++) {
+ a[j] *= 2.0 / n;
+ }
+ .
+
+
+Appendix :
+ The cos/sin table is recalculated when the larger table required.
+ w[] and ip[] are compatible with all routines.
+*/
+
+
+void cdft(int n, int isgn, double *a, int *ip, double *w)
+{
+ void makewt(int nw, int *ip, double *w);
+ void cftfsub(int n, double *a, int *ip, int nw, double *w);
+ void cftbsub(int n, double *a, int *ip, int nw, double *w);
+ int nw;
+
+ nw = ip[0];
+ if (n > (nw << 2))
+ {
+ nw = n >> 2;
+ makewt(nw, ip, w);
+ }
+ if (isgn >= 0)
+ {
+ cftfsub(n, a, ip, nw, w);
+ }
+ else
+ {
+ cftbsub(n, a, ip, nw, w);
+ }
+}
+
+
+void rdft(int n, int isgn, double *a, int *ip, double *w)
+{
+ void makewt(int nw, int *ip, double *w);
+ void makect(int nc, int *ip, double *c);
+ void cftfsub(int n, double *a, int *ip, int nw, double *w);
+ void cftbsub(int n, double *a, int *ip, int nw, double *w);
+ void rftfsub(int n, double *a, int nc, double *c);
+ void rftbsub(int n, double *a, int nc, double *c);
+ int nw, nc;
+ double xi;
+
+ nw = ip[0];
+ if (n > (nw << 2))
+ {
+ nw = n >> 2;
+ makewt(nw, ip, w);
+ }
+ nc = ip[1];
+ if (n > (nc << 2))
+ {
+ nc = n >> 2;
+ makect(nc, ip, w + nw);
+ }
+ if (isgn >= 0)
+ {
+ if (n > 4)
+ {
+ cftfsub(n, a, ip, nw, w);
+ rftfsub(n, a, nc, w + nw);
+ }
+ else if (n == 4)
+ {
+ cftfsub(n, a, ip, nw, w);
+ }
+ xi = a[0] - a[1];
+ a[0] += a[1];
+ a[1] = xi;
+ }
+ else
+ {
+ a[1] = 0.5 * (a[0] - a[1]);
+ a[0] -= a[1];
+ if (n > 4)
+ {
+ rftbsub(n, a, nc, w + nw);
+ cftbsub(n, a, ip, nw, w);
+ }
+ else if (n == 4)
+ {
+ cftbsub(n, a, ip, nw, w);
+ }
+ }
+}
+
+
+void ddct(int n, int isgn, double *a, int *ip, double *w)
+{
+ void makewt(int nw, int *ip, double *w);
+ void makect(int nc, int *ip, double *c);
+ void cftfsub(int n, double *a, int *ip, int nw, double *w);
+ void cftbsub(int n, double *a, int *ip, int nw, double *w);
+ void rftfsub(int n, double *a, int nc, double *c);
+ void rftbsub(int n, double *a, int nc, double *c);
+ void dctsub(int n, double *a, int nc, double *c);
+ int j, nw, nc;
+ double xr;
+
+ nw = ip[0];
+ if (n > (nw << 2))
+ {
+ nw = n >> 2;
+ makewt(nw, ip, w);
+ }
+ nc = ip[1];
+ if (n > nc)
+ {
+ nc = n;
+ makect(nc, ip, w + nw);
+ }
+ if (isgn < 0)
+ {
+ xr = a[n - 1];
+ for (j = n - 2; j >= 2; j -= 2)
+ {
+ a[j + 1] = a[j] - a[j - 1];
+ a[j] += a[j - 1];
+ }
+ a[1] = a[0] - xr;
+ a[0] += xr;
+ if (n > 4)
+ {
+ rftbsub(n, a, nc, w + nw);
+ cftbsub(n, a, ip, nw, w);
+ }
+ else if (n == 4)
+ {
+ cftbsub(n, a, ip, nw, w);
+ }
+ }
+ dctsub(n, a, nc, w + nw);
+ if (isgn >= 0)
+ {
+ if (n > 4)
+ {
+ cftfsub(n, a, ip, nw, w);
+ rftfsub(n, a, nc, w + nw);
+ }
+ else if (n == 4)
+ {
+ cftfsub(n, a, ip, nw, w);
+ }
+ xr = a[0] - a[1];
+ a[0] += a[1];
+ for (j = 2; j < n; j += 2)
+ {
+ a[j - 1] = a[j] - a[j + 1];
+ a[j] += a[j + 1];
+ }
+ a[n - 1] = xr;
+ }
+}
+
+
+void ddst(int n, int isgn, double *a, int *ip, double *w)
+{
+ void makewt(int nw, int *ip, double *w);
+ void makect(int nc, int *ip, double *c);
+ void cftfsub(int n, double *a, int *ip, int nw, double *w);
+ void cftbsub(int n, double *a, int *ip, int nw, double *w);
+ void rftfsub(int n, double *a, int nc, double *c);
+ void rftbsub(int n, double *a, int nc, double *c);
+ void dstsub(int n, double *a, int nc, double *c);
+ int j, nw, nc;
+ double xr;
+
+ nw = ip[0];
+ if (n > (nw << 2))
+ {
+ nw = n >> 2;
+ makewt(nw, ip, w);
+ }
+ nc = ip[1];
+ if (n > nc)
+ {
+ nc = n;
+ makect(nc, ip, w + nw);
+ }
+ if (isgn < 0)
+ {
+ xr = a[n - 1];
+ for (j = n - 2; j >= 2; j -= 2)
+ {
+ a[j + 1] = -a[j] - a[j - 1];
+ a[j] -= a[j - 1];
+ }
+ a[1] = a[0] + xr;
+ a[0] -= xr;
+ if (n > 4)
+ {
+ rftbsub(n, a, nc, w + nw);
+ cftbsub(n, a, ip, nw, w);
+ }
+ else if (n == 4)
+ {
+ cftbsub(n, a, ip, nw, w);
+ }
+ }
+ dstsub(n, a, nc, w + nw);
+ if (isgn >= 0)
+ {
+ if (n > 4)
+ {
+ cftfsub(n, a, ip, nw, w);
+ rftfsub(n, a, nc, w + nw);
+ }
+ else if (n == 4)
+ {
+ cftfsub(n, a, ip, nw, w);
+ }
+ xr = a[0] - a[1];
+ a[0] += a[1];
+ for (j = 2; j < n; j += 2)
+ {
+ a[j - 1] = -a[j] - a[j + 1];
+ a[j] -= a[j + 1];
+ }
+ a[n - 1] = -xr;
+ }
+}
+
+
+void dfct(int n, double *a, double *t, int *ip, double *w)
+{
+ void makewt(int nw, int *ip, double *w);
+ void makect(int nc, int *ip, double *c);
+ void cftfsub(int n, double *a, int *ip, int nw, double *w);
+ void rftfsub(int n, double *a, int nc, double *c);
+ void dctsub(int n, double *a, int nc, double *c);
+ int j, k, l, m, mh, nw, nc;
+ double xr, xi, yr, yi;
+
+ nw = ip[0];
+ if (n > (nw << 3))
+ {
+ nw = n >> 3;
+ makewt(nw, ip, w);
+ }
+ nc = ip[1];
+ if (n > (nc << 1))
+ {
+ nc = n >> 1;
+ makect(nc, ip, w + nw);
+ }
+ m = n >> 1;
+ yi = a[m];
+ xi = a[0] + a[n];
+ a[0] -= a[n];
+ t[0] = xi - yi;
+ t[m] = xi + yi;
+ if (n > 2)
+ {
+ mh = m >> 1;
+ for (j = 1; j < mh; j++)
+ {
+ k = m - j;
+ xr = a[j] - a[n - j];
+ xi = a[j] + a[n - j];
+ yr = a[k] - a[n - k];
+ yi = a[k] + a[n - k];
+ a[j] = xr;
+ a[k] = yr;
+ t[j] = xi - yi;
+ t[k] = xi + yi;
+ }
+ t[mh] = a[mh] + a[n - mh];
+ a[mh] -= a[n - mh];
+ dctsub(m, a, nc, w + nw);
+ if (m > 4)
+ {
+ cftfsub(m, a, ip, nw, w);
+ rftfsub(m, a, nc, w + nw);
+ }
+ else if (m == 4)
+ {
+ cftfsub(m, a, ip, nw, w);
+ }
+ a[n - 1] = a[0] - a[1];
+ a[1] = a[0] + a[1];
+ for (j = m - 2; j >= 2; j -= 2)
+ {
+ a[2 * j + 1] = a[j] + a[j + 1];
+ a[2 * j - 1] = a[j] - a[j + 1];
+ }
+ l = 2;
+ m = mh;
+ while (m >= 2)
+ {
+ dctsub(m, t, nc, w + nw);
+ if (m > 4)
+ {
+ cftfsub(m, t, ip, nw, w);
+ rftfsub(m, t, nc, w + nw);
+ }
+ else if (m == 4)
+ {
+ cftfsub(m, t, ip, nw, w);
+ }
+ a[n - l] = t[0] - t[1];
+ a[l] = t[0] + t[1];
+ k = 0;
+ for (j = 2; j < m; j += 2)
+ {
+ k += l << 2;
+ a[k - l] = t[j] - t[j + 1];
+ a[k + l] = t[j] + t[j + 1];
+ }
+ l <<= 1;
+ mh = m >> 1;
+ for (j = 0; j < mh; j++)
+ {
+ k = m - j;
+ t[j] = t[m + k] - t[m + j];
+ t[k] = t[m + k] + t[m + j];
+ }
+ t[mh] = t[m + mh];
+ m = mh;
+ }
+ a[l] = t[0];
+ a[n] = t[2] - t[1];
+ a[0] = t[2] + t[1];
+ }
+ else
+ {
+ a[1] = a[0];
+ a[2] = t[0];
+ a[0] = t[1];
+ }
+}
+
+
+void dfst(int n, double *a, double *t, int *ip, double *w)
+{
+ void makewt(int nw, int *ip, double *w);
+ void makect(int nc, int *ip, double *c);
+ void cftfsub(int n, double *a, int *ip, int nw, double *w);
+ void rftfsub(int n, double *a, int nc, double *c);
+ void dstsub(int n, double *a, int nc, double *c);
+ int j, k, l, m, mh, nw, nc;
+ double xr, xi, yr, yi;
+
+ nw = ip[0];
+ if (n > (nw << 3))
+ {
+ nw = n >> 3;
+ makewt(nw, ip, w);
+ }
+ nc = ip[1];
+ if (n > (nc << 1))
+ {
+ nc = n >> 1;
+ makect(nc, ip, w + nw);
+ }
+ if (n > 2)
+ {
+ m = n >> 1;
+ mh = m >> 1;
+ for (j = 1; j < mh; j++)
+ {
+ k = m - j;
+ xr = a[j] + a[n - j];
+ xi = a[j] - a[n - j];
+ yr = a[k] + a[n - k];
+ yi = a[k] - a[n - k];
+ a[j] = xr;
+ a[k] = yr;
+ t[j] = xi + yi;
+ t[k] = xi - yi;
+ }
+ t[0] = a[mh] - a[n - mh];
+ a[mh] += a[n - mh];
+ a[0] = a[m];
+ dstsub(m, a, nc, w + nw);
+ if (m > 4)
+ {
+ cftfsub(m, a, ip, nw, w);
+ rftfsub(m, a, nc, w + nw);
+ }
+ else if (m == 4)
+ {
+ cftfsub(m, a, ip, nw, w);
+ }
+ a[n - 1] = a[1] - a[0];
+ a[1] = a[0] + a[1];
+ for (j = m - 2; j >= 2; j -= 2)
+ {
+ a[2 * j + 1] = a[j] - a[j + 1];
+ a[2 * j - 1] = -a[j] - a[j + 1];
+ }
+ l = 2;
+ m = mh;
+ while (m >= 2)
+ {
+ dstsub(m, t, nc, w + nw);
+ if (m > 4)
+ {
+ cftfsub(m, t, ip, nw, w);
+ rftfsub(m, t, nc, w + nw);
+ }
+ else if (m == 4)
+ {
+ cftfsub(m, t, ip, nw, w);
+ }
+ a[n - l] = t[1] - t[0];
+ a[l] = t[0] + t[1];
+ k = 0;
+ for (j = 2; j < m; j += 2)
+ {
+ k += l << 2;
+ a[k - l] = -t[j] - t[j + 1];
+ a[k + l] = t[j] - t[j + 1];
+ }
+ l <<= 1;
+ mh = m >> 1;
+ for (j = 1; j < mh; j++)
+ {
+ k = m - j;
+ t[j] = t[m + k] + t[m + j];
+ t[k] = t[m + k] - t[m + j];
+ }
+ t[0] = t[m + mh];
+ m = mh;
+ }
+ a[l] = t[0];
+ }
+ a[0] = 0;
+}
+
+
+/* -------- initializing routines -------- */
+
+
+#include <math.h>
+
+void makewt(int nw, int *ip, double *w)
+{
+ void makeipt(int nw, int *ip);
+ int j, nwh, nw0, nw1;
+ double delta, wn4r, wk1r, wk1i, wk3r, wk3i;
+
+ ip[0] = nw;
+ ip[1] = 1;
+ if (nw > 2)
+ {
+ nwh = nw >> 1;
+ delta = atan(1.0) / nwh;
+ wn4r = cos(delta * nwh);
+ w[0] = 1;
+ w[1] = wn4r;
+ if (nwh == 4)
+ {
+ w[2] = cos(delta * 2);
+ w[3] = sin(delta * 2);
+ }
+ else if (nwh > 4)
+ {
+ makeipt(nw, ip);
+ w[2] = 0.5 / cos(delta * 2);
+ w[3] = 0.5 / cos(delta * 6);
+ for (j = 4; j < nwh; j += 4)
+ {
+ w[j] = cos(delta * j);
+ w[j + 1] = sin(delta * j);
+ w[j + 2] = cos(3 * delta * j);
+ w[j + 3] = -sin(3 * delta * j);
+ }
+ }
+ nw0 = 0;
+ while (nwh > 2)
+ {
+ nw1 = nw0 + nwh;
+ nwh >>= 1;
+ w[nw1] = 1;
+ w[nw1 + 1] = wn4r;
+ if (nwh == 4)
+ {
+ wk1r = w[nw0 + 4];
+ wk1i = w[nw0 + 5];
+ w[nw1 + 2] = wk1r;
+ w[nw1 + 3] = wk1i;
+ }
+ else if (nwh > 4)
+ {
+ wk1r = w[nw0 + 4];
+ wk3r = w[nw0 + 6];
+ w[nw1 + 2] = 0.5 / wk1r;
+ w[nw1 + 3] = 0.5 / wk3r;
+ for (j = 4; j < nwh; j += 4)
+ {
+ wk1r = w[nw0 + 2 * j];
+ wk1i = w[nw0 + 2 * j + 1];
+ wk3r = w[nw0 + 2 * j + 2];
+ wk3i = w[nw0 + 2 * j + 3];
+ w[nw1 + j] = wk1r;
+ w[nw1 + j + 1] = wk1i;
+ w[nw1 + j + 2] = wk3r;
+ w[nw1 + j + 3] = wk3i;
+ }
+ }
+ nw0 = nw1;
+ }
+ }
+}
+
+
+void makeipt(int nw, int *ip)
+{
+ int j, l, m, m2, p, q;
+
+ ip[2] = 0;
+ ip[3] = 16;
+ m = 2;
+ for (l = nw; l > 32; l >>= 2)
+ {
+ m2 = m << 1;
+ q = m2 << 3;
+ for (j = m; j < m2; j++)
+ {
+ p = ip[j] << 2;
+ ip[m + j] = p;
+ ip[m2 + j] = p + q;
+ }
+ m = m2;
+ }
+}
+
+
+void makect(int nc, int *ip, double *c)
+{
+ int j, nch;
+ double delta;
+
+ ip[1] = nc;
+ if (nc > 1)
+ {
+ nch = nc >> 1;
+ delta = atan(1.0) / nch;
+ c[0] = cos(delta * nch);
+ c[nch] = 0.5 * c[0];
+ for (j = 1; j < nch; j++)
+ {
+ c[j] = 0.5 * cos(delta * j);
+ c[nc - j] = 0.5 * sin(delta * j);
+ }
+ }
+}
+
+
+/* -------- child routines -------- */
+
+
+#ifdef USE_CDFT_PTHREADS
+#define USE_CDFT_THREADS
+#ifndef CDFT_THREADS_BEGIN_N
+#define CDFT_THREADS_BEGIN_N 8192
+#endif
+#ifndef CDFT_4THREADS_BEGIN_N
+#define CDFT_4THREADS_BEGIN_N 65536
+#endif
+#include <pthread.h>
+#include <stdio.h>
+#include <stdlib.h>
+#define cdft_thread_t pthread_t
+#define cdft_thread_create(thp,func,argp) { \
+ if (pthread_create(thp, NULL, func, (void *) argp) != 0) { \
+ fprintf(stderr, "cdft thread error\n"); \
+ exit(1); \
+ } \
+}
+#define cdft_thread_wait(th) { \
+ if (pthread_join(th, NULL) != 0) { \
+ fprintf(stderr, "cdft thread error\n"); \
+ exit(1); \
+ } \
+}
+#endif /* USE_CDFT_PTHREADS */
+
+
+#ifdef USE_CDFT_WINTHREADS
+#define USE_CDFT_THREADS
+#ifndef CDFT_THREADS_BEGIN_N
+#define CDFT_THREADS_BEGIN_N 32768
+#endif
+#ifndef CDFT_4THREADS_BEGIN_N
+#define CDFT_4THREADS_BEGIN_N 524288
+#endif
+#include <windows.h>
+#include <stdio.h>
+#include <stdlib.h>
+#define cdft_thread_t HANDLE
+#define cdft_thread_create(thp,func,argp) { \
+ DWORD thid; \
+ *(thp) = CreateThread(NULL, 0, (LPTHREAD_START_ROUTINE) func, (LPVOID) argp, 0, &thid); \
+ if (*(thp) == 0) { \
+ fprintf(stderr, "cdft thread error\n"); \
+ exit(1); \
+ } \
+}
+#define cdft_thread_wait(th) { \
+ WaitForSingleObject(th, INFINITE); \
+ CloseHandle(th); \
+}
+#endif /* USE_CDFT_WINTHREADS */
+
+
+void cftfsub(int n, double *a, int *ip, int nw, double *w)
+{
+ void bitrv2(int n, int *ip, double *a);
+ void bitrv216(double *a);
+ void bitrv208(double *a);
+ void cftf1st(int n, double *a, double *w);
+ void cftrec4(int n, double *a, int nw, double *w);
+ void cftleaf(int n, int isplt, double *a, int nw, double *w);
+ void cftfx41(int n, double *a, int nw, double *w);
+ void cftf161(double *a, double *w);
+ void cftf081(double *a, double *w);
+ void cftf040(double *a);
+ void cftx020(double *a);
+#ifdef USE_CDFT_THREADS
+ void cftrec4_th(int n, double *a, int nw, double *w);
+#endif /* USE_CDFT_THREADS */
+
+ if (n > 8)
+ {
+ if (n > 32)
+ {
+ cftf1st(n, a, &w[nw - (n >> 2)]);
+#ifdef USE_CDFT_THREADS
+ if (n > CDFT_THREADS_BEGIN_N)
+ {
+ cftrec4_th(n, a, nw, w);
+ }
+ else
+#endif /* USE_CDFT_THREADS */
+ if (n > 512)
+ {
+ cftrec4(n, a, nw, w);
+ }
+ else if (n > 128)
+ {
+ cftleaf(n, 1, a, nw, w);
+ }
+ else
+ {
+ cftfx41(n, a, nw, w);
+ }
+ bitrv2(n, ip, a);
+ }
+ else if (n == 32)
+ {
+ cftf161(a, &w[nw - 8]);
+ bitrv216(a);
+ }
+ else
+ {
+ cftf081(a, w);
+ bitrv208(a);
+ }
+ }
+ else if (n == 8)
+ {
+ cftf040(a);
+ }
+ else if (n == 4)
+ {
+ cftx020(a);
+ }
+}
+
+
+void cftbsub(int n, double *a, int *ip, int nw, double *w)
+{
+ void bitrv2conj(int n, int *ip, double *a);
+ void bitrv216neg(double *a);
+ void bitrv208neg(double *a);
+ void cftb1st(int n, double *a, double *w);
+ void cftrec4(int n, double *a, int nw, double *w);
+ void cftleaf(int n, int isplt, double *a, int nw, double *w);
+ void cftfx41(int n, double *a, int nw, double *w);
+ void cftf161(double *a, double *w);
+ void cftf081(double *a, double *w);
+ void cftb040(double *a);
+ void cftx020(double *a);
+#ifdef USE_CDFT_THREADS
+ void cftrec4_th(int n, double *a, int nw, double *w);
+#endif /* USE_CDFT_THREADS */
+
+ if (n > 8)
+ {
+ if (n > 32)
+ {
+ cftb1st(n, a, &w[nw - (n >> 2)]);
+#ifdef USE_CDFT_THREADS
+ if (n > CDFT_THREADS_BEGIN_N)
+ {
+ cftrec4_th(n, a, nw, w);
+ }
+ else
+#endif /* USE_CDFT_THREADS */
+ if (n > 512)
+ {
+ cftrec4(n, a, nw, w);
+ }
+ else if (n > 128)
+ {
+ cftleaf(n, 1, a, nw, w);
+ }
+ else
+ {
+ cftfx41(n, a, nw, w);
+ }
+ bitrv2conj(n, ip, a);
+ }
+ else if (n == 32)
+ {
+ cftf161(a, &w[nw - 8]);
+ bitrv216neg(a);
+ }
+ else
+ {
+ cftf081(a, w);
+ bitrv208neg(a);
+ }
+ }
+ else if (n == 8)
+ {
+ cftb040(a);
+ }
+ else if (n == 4)
+ {
+ cftx020(a);
+ }
+}
+
+
+void bitrv2(int n, int *ip, double *a)
+{
+ int j, j1, k, k1, l, m, nh, nm;
+ double xr, xi, yr, yi;
+
+ m = 1;
+ for (l = n >> 2; l > 8; l >>= 2)
+ {
+ m <<= 1;
+ }
+ nh = n >> 1;
+ nm = 4 * m;
+ if (l == 8)
+ {
+ for (k = 0; k < m; k++)
+ {
+ for (j = 0; j < k; j++)
+ {
+ j1 = 4 * j + 2 * ip[m + k];
+ k1 = 4 * k + 2 * ip[m + j];
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += 2 * nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 -= nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += 2 * nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nh;
+ k1 += 2;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= 2 * nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 += nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= 2 * nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += 2;
+ k1 += nh;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += 2 * nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 -= nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += 2 * nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nh;
+ k1 -= 2;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= 2 * nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 += nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= 2 * nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ }
+ k1 = 4 * k + 2 * ip[m + k];
+ j1 = k1 + 2;
+ k1 += nh;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += 2 * nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 -= nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= 2;
+ k1 -= nh;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nh + 2;
+ k1 += nh + 2;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nh - nm;
+ k1 += 2 * nm - 2;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ }
+ }
+ else
+ {
+ for (k = 0; k < m; k++)
+ {
+ for (j = 0; j < k; j++)
+ {
+ j1 = 4 * j + ip[m + k];
+ k1 = 4 * k + ip[m + j];
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nh;
+ k1 += 2;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += 2;
+ k1 += nh;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nh;
+ k1 -= 2;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ }
+ k1 = 4 * k + ip[m + k];
+ j1 = k1 + 2;
+ k1 += nh;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += nm;
+ xr = a[j1];
+ xi = a[j1 + 1];
+ yr = a[k1];
+ yi = a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ }
+ }
+}
+
+
+void bitrv2conj(int n, int *ip, double *a)
+{
+ int j, j1, k, k1, l, m, nh, nm;
+ double xr, xi, yr, yi;
+
+ m = 1;
+ for (l = n >> 2; l > 8; l >>= 2)
+ {
+ m <<= 1;
+ }
+ nh = n >> 1;
+ nm = 4 * m;
+ if (l == 8)
+ {
+ for (k = 0; k < m; k++)
+ {
+ for (j = 0; j < k; j++)
+ {
+ j1 = 4 * j + 2 * ip[m + k];
+ k1 = 4 * k + 2 * ip[m + j];
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += 2 * nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 -= nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += 2 * nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nh;
+ k1 += 2;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= 2 * nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 += nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= 2 * nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += 2;
+ k1 += nh;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += 2 * nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 -= nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += 2 * nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nh;
+ k1 -= 2;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= 2 * nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 += nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= 2 * nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ }
+ k1 = 4 * k + 2 * ip[m + k];
+ j1 = k1 + 2;
+ k1 += nh;
+ a[j1 - 1] = -a[j1 - 1];
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ a[k1 + 3] = -a[k1 + 3];
+ j1 += nm;
+ k1 += 2 * nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 -= nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= 2;
+ k1 -= nh;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nh + 2;
+ k1 += nh + 2;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nh - nm;
+ k1 += 2 * nm - 2;
+ a[j1 - 1] = -a[j1 - 1];
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ a[k1 + 3] = -a[k1 + 3];
+ }
+ }
+ else
+ {
+ for (k = 0; k < m; k++)
+ {
+ for (j = 0; j < k; j++)
+ {
+ j1 = 4 * j + ip[m + k];
+ k1 = 4 * k + ip[m + j];
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nh;
+ k1 += 2;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += 2;
+ k1 += nh;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 += nm;
+ k1 += nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nh;
+ k1 -= 2;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ j1 -= nm;
+ k1 -= nm;
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ }
+ k1 = 4 * k + ip[m + k];
+ j1 = k1 + 2;
+ k1 += nh;
+ a[j1 - 1] = -a[j1 - 1];
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ a[k1 + 3] = -a[k1 + 3];
+ j1 += nm;
+ k1 += nm;
+ a[j1 - 1] = -a[j1 - 1];
+ xr = a[j1];
+ xi = -a[j1 + 1];
+ yr = a[k1];
+ yi = -a[k1 + 1];
+ a[j1] = yr;
+ a[j1 + 1] = yi;
+ a[k1] = xr;
+ a[k1 + 1] = xi;
+ a[k1 + 3] = -a[k1 + 3];
+ }
+ }
+}
+
+
+void bitrv216(double *a)
+{
+ double x1r, x1i, x2r, x2i, x3r, x3i, x4r, x4i,
+ x5r, x5i, x7r, x7i, x8r, x8i, x10r, x10i,
+ x11r, x11i, x12r, x12i, x13r, x13i, x14r, x14i;
+
+ x1r = a[2];
+ x1i = a[3];
+ x2r = a[4];
+ x2i = a[5];
+ x3r = a[6];
+ x3i = a[7];
+ x4r = a[8];
+ x4i = a[9];
+ x5r = a[10];
+ x5i = a[11];
+ x7r = a[14];
+ x7i = a[15];
+ x8r = a[16];
+ x8i = a[17];
+ x10r = a[20];
+ x10i = a[21];
+ x11r = a[22];
+ x11i = a[23];
+ x12r = a[24];
+ x12i = a[25];
+ x13r = a[26];
+ x13i = a[27];
+ x14r = a[28];
+ x14i = a[29];
+ a[2] = x8r;
+ a[3] = x8i;
+ a[4] = x4r;
+ a[5] = x4i;
+ a[6] = x12r;
+ a[7] = x12i;
+ a[8] = x2r;
+ a[9] = x2i;
+ a[10] = x10r;
+ a[11] = x10i;
+ a[14] = x14r;
+ a[15] = x14i;
+ a[16] = x1r;
+ a[17] = x1i;
+ a[20] = x5r;
+ a[21] = x5i;
+ a[22] = x13r;
+ a[23] = x13i;
+ a[24] = x3r;
+ a[25] = x3i;
+ a[26] = x11r;
+ a[27] = x11i;
+ a[28] = x7r;
+ a[29] = x7i;
+}
+
+
+void bitrv216neg(double *a)
+{
+ double x1r, x1i, x2r, x2i, x3r, x3i, x4r, x4i,
+ x5r, x5i, x6r, x6i, x7r, x7i, x8r, x8i,
+ x9r, x9i, x10r, x10i, x11r, x11i, x12r, x12i,
+ x13r, x13i, x14r, x14i, x15r, x15i;
+
+ x1r = a[2];
+ x1i = a[3];
+ x2r = a[4];
+ x2i = a[5];
+ x3r = a[6];
+ x3i = a[7];
+ x4r = a[8];
+ x4i = a[9];
+ x5r = a[10];
+ x5i = a[11];
+ x6r = a[12];
+ x6i = a[13];
+ x7r = a[14];
+ x7i = a[15];
+ x8r = a[16];
+ x8i = a[17];
+ x9r = a[18];
+ x9i = a[19];
+ x10r = a[20];
+ x10i = a[21];
+ x11r = a[22];
+ x11i = a[23];
+ x12r = a[24];
+ x12i = a[25];
+ x13r = a[26];
+ x13i = a[27];
+ x14r = a[28];
+ x14i = a[29];
+ x15r = a[30];
+ x15i = a[31];
+ a[2] = x15r;
+ a[3] = x15i;
+ a[4] = x7r;
+ a[5] = x7i;
+ a[6] = x11r;
+ a[7] = x11i;
+ a[8] = x3r;
+ a[9] = x3i;
+ a[10] = x13r;
+ a[11] = x13i;
+ a[12] = x5r;
+ a[13] = x5i;
+ a[14] = x9r;
+ a[15] = x9i;
+ a[16] = x1r;
+ a[17] = x1i;
+ a[18] = x14r;
+ a[19] = x14i;
+ a[20] = x6r;
+ a[21] = x6i;
+ a[22] = x10r;
+ a[23] = x10i;
+ a[24] = x2r;
+ a[25] = x2i;
+ a[26] = x12r;
+ a[27] = x12i;
+ a[28] = x4r;
+ a[29] = x4i;
+ a[30] = x8r;
+ a[31] = x8i;
+}
+
+
+void bitrv208(double *a)
+{
+ double x1r, x1i, x3r, x3i, x4r, x4i, x6r, x6i;
+
+ x1r = a[2];
+ x1i = a[3];
+ x3r = a[6];
+ x3i = a[7];
+ x4r = a[8];
+ x4i = a[9];
+ x6r = a[12];
+ x6i = a[13];
+ a[2] = x4r;
+ a[3] = x4i;
+ a[6] = x6r;
+ a[7] = x6i;
+ a[8] = x1r;
+ a[9] = x1i;
+ a[12] = x3r;
+ a[13] = x3i;
+}
+
+
+void bitrv208neg(double *a)
+{
+ double x1r, x1i, x2r, x2i, x3r, x3i, x4r, x4i,
+ x5r, x5i, x6r, x6i, x7r, x7i;
+
+ x1r = a[2];
+ x1i = a[3];
+ x2r = a[4];
+ x2i = a[5];
+ x3r = a[6];
+ x3i = a[7];
+ x4r = a[8];
+ x4i = a[9];
+ x5r = a[10];
+ x5i = a[11];
+ x6r = a[12];
+ x6i = a[13];
+ x7r = a[14];
+ x7i = a[15];
+ a[2] = x7r;
+ a[3] = x7i;
+ a[4] = x3r;
+ a[5] = x3i;
+ a[6] = x5r;
+ a[7] = x5i;
+ a[8] = x1r;
+ a[9] = x1i;
+ a[10] = x6r;
+ a[11] = x6i;
+ a[12] = x2r;
+ a[13] = x2i;
+ a[14] = x4r;
+ a[15] = x4i;
+}
+
+
+void cftf1st(int n, double *a, double *w)
+{
+ int j, j0, j1, j2, j3, k, m, mh;
+ double wn4r, csc1, csc3, wk1r, wk1i, wk3r, wk3i,
+ wd1r, wd1i, wd3r, wd3i;
+ double x0r, x0i, x1r, x1i, x2r, x2i, x3r, x3i,
+ y0r, y0i, y1r, y1i, y2r, y2i, y3r, y3i;
+
+ mh = n >> 3;
+ m = 2 * mh;
+ j1 = m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[0] + a[j2];
+ x0i = a[1] + a[j2 + 1];
+ x1r = a[0] - a[j2];
+ x1i = a[1] - a[j2 + 1];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ a[0] = x0r + x2r;
+ a[1] = x0i + x2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i - x2i;
+ a[j2] = x1r - x3i;
+ a[j2 + 1] = x1i + x3r;
+ a[j3] = x1r + x3i;
+ a[j3 + 1] = x1i - x3r;
+ wn4r = w[1];
+ csc1 = w[2];
+ csc3 = w[3];
+ wd1r = 1;
+ wd1i = 0;
+ wd3r = 1;
+ wd3i = 0;
+ k = 0;
+ for (j = 2; j < mh - 2; j += 4)
+ {
+ k += 4;
+ wk1r = csc1 * (wd1r + w[k]);
+ wk1i = csc1 * (wd1i + w[k + 1]);
+ wk3r = csc3 * (wd3r + w[k + 2]);
+ wk3i = csc3 * (wd3i + w[k + 3]);
+ wd1r = w[k];
+ wd1i = w[k + 1];
+ wd3r = w[k + 2];
+ wd3i = w[k + 3];
+ j1 = j + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j] + a[j2];
+ x0i = a[j + 1] + a[j2 + 1];
+ x1r = a[j] - a[j2];
+ x1i = a[j + 1] - a[j2 + 1];
+ y0r = a[j + 2] + a[j2 + 2];
+ y0i = a[j + 3] + a[j2 + 3];
+ y1r = a[j + 2] - a[j2 + 2];
+ y1i = a[j + 3] - a[j2 + 3];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ y2r = a[j1 + 2] + a[j3 + 2];
+ y2i = a[j1 + 3] + a[j3 + 3];
+ y3r = a[j1 + 2] - a[j3 + 2];
+ y3i = a[j1 + 3] - a[j3 + 3];
+ a[j] = x0r + x2r;
+ a[j + 1] = x0i + x2i;
+ a[j + 2] = y0r + y2r;
+ a[j + 3] = y0i + y2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i - x2i;
+ a[j1 + 2] = y0r - y2r;
+ a[j1 + 3] = y0i - y2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ a[j2] = wk1r * x0r - wk1i * x0i;
+ a[j2 + 1] = wk1r * x0i + wk1i * x0r;
+ x0r = y1r - y3i;
+ x0i = y1i + y3r;
+ a[j2 + 2] = wd1r * x0r - wd1i * x0i;
+ a[j2 + 3] = wd1r * x0i + wd1i * x0r;
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ a[j3] = wk3r * x0r + wk3i * x0i;
+ a[j3 + 1] = wk3r * x0i - wk3i * x0r;
+ x0r = y1r + y3i;
+ x0i = y1i - y3r;
+ a[j3 + 2] = wd3r * x0r + wd3i * x0i;
+ a[j3 + 3] = wd3r * x0i - wd3i * x0r;
+ j0 = m - j;
+ j1 = j0 + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j0] + a[j2];
+ x0i = a[j0 + 1] + a[j2 + 1];
+ x1r = a[j0] - a[j2];
+ x1i = a[j0 + 1] - a[j2 + 1];
+ y0r = a[j0 - 2] + a[j2 - 2];
+ y0i = a[j0 - 1] + a[j2 - 1];
+ y1r = a[j0 - 2] - a[j2 - 2];
+ y1i = a[j0 - 1] - a[j2 - 1];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ y2r = a[j1 - 2] + a[j3 - 2];
+ y2i = a[j1 - 1] + a[j3 - 1];
+ y3r = a[j1 - 2] - a[j3 - 2];
+ y3i = a[j1 - 1] - a[j3 - 1];
+ a[j0] = x0r + x2r;
+ a[j0 + 1] = x0i + x2i;
+ a[j0 - 2] = y0r + y2r;
+ a[j0 - 1] = y0i + y2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i - x2i;
+ a[j1 - 2] = y0r - y2r;
+ a[j1 - 1] = y0i - y2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ a[j2] = wk1i * x0r - wk1r * x0i;
+ a[j2 + 1] = wk1i * x0i + wk1r * x0r;
+ x0r = y1r - y3i;
+ x0i = y1i + y3r;
+ a[j2 - 2] = wd1i * x0r - wd1r * x0i;
+ a[j2 - 1] = wd1i * x0i + wd1r * x0r;
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ a[j3] = wk3i * x0r + wk3r * x0i;
+ a[j3 + 1] = wk3i * x0i - wk3r * x0r;
+ x0r = y1r + y3i;
+ x0i = y1i - y3r;
+ a[j3 - 2] = wd3i * x0r + wd3r * x0i;
+ a[j3 - 1] = wd3i * x0i - wd3r * x0r;
+ }
+ wk1r = csc1 * (wd1r + wn4r);
+ wk1i = csc1 * (wd1i + wn4r);
+ wk3r = csc3 * (wd3r - wn4r);
+ wk3i = csc3 * (wd3i - wn4r);
+ j0 = mh;
+ j1 = j0 + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j0 - 2] + a[j2 - 2];
+ x0i = a[j0 - 1] + a[j2 - 1];
+ x1r = a[j0 - 2] - a[j2 - 2];
+ x1i = a[j0 - 1] - a[j2 - 1];
+ x2r = a[j1 - 2] + a[j3 - 2];
+ x2i = a[j1 - 1] + a[j3 - 1];
+ x3r = a[j1 - 2] - a[j3 - 2];
+ x3i = a[j1 - 1] - a[j3 - 1];
+ a[j0 - 2] = x0r + x2r;
+ a[j0 - 1] = x0i + x2i;
+ a[j1 - 2] = x0r - x2r;
+ a[j1 - 1] = x0i - x2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ a[j2 - 2] = wk1r * x0r - wk1i * x0i;
+ a[j2 - 1] = wk1r * x0i + wk1i * x0r;
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ a[j3 - 2] = wk3r * x0r + wk3i * x0i;
+ a[j3 - 1] = wk3r * x0i - wk3i * x0r;
+ x0r = a[j0] + a[j2];
+ x0i = a[j0 + 1] + a[j2 + 1];
+ x1r = a[j0] - a[j2];
+ x1i = a[j0 + 1] - a[j2 + 1];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ a[j0] = x0r + x2r;
+ a[j0 + 1] = x0i + x2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i - x2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ a[j2] = wn4r * (x0r - x0i);
+ a[j2 + 1] = wn4r * (x0i + x0r);
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ a[j3] = -wn4r * (x0r + x0i);
+ a[j3 + 1] = -wn4r * (x0i - x0r);
+ x0r = a[j0 + 2] + a[j2 + 2];
+ x0i = a[j0 + 3] + a[j2 + 3];
+ x1r = a[j0 + 2] - a[j2 + 2];
+ x1i = a[j0 + 3] - a[j2 + 3];
+ x2r = a[j1 + 2] + a[j3 + 2];
+ x2i = a[j1 + 3] + a[j3 + 3];
+ x3r = a[j1 + 2] - a[j3 + 2];
+ x3i = a[j1 + 3] - a[j3 + 3];
+ a[j0 + 2] = x0r + x2r;
+ a[j0 + 3] = x0i + x2i;
+ a[j1 + 2] = x0r - x2r;
+ a[j1 + 3] = x0i - x2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ a[j2 + 2] = wk1i * x0r - wk1r * x0i;
+ a[j2 + 3] = wk1i * x0i + wk1r * x0r;
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ a[j3 + 2] = wk3i * x0r + wk3r * x0i;
+ a[j3 + 3] = wk3i * x0i - wk3r * x0r;
+}
+
+
+void cftb1st(int n, double *a, double *w)
+{
+ int j, j0, j1, j2, j3, k, m, mh;
+ double wn4r, csc1, csc3, wk1r, wk1i, wk3r, wk3i,
+ wd1r, wd1i, wd3r, wd3i;
+ double x0r, x0i, x1r, x1i, x2r, x2i, x3r, x3i,
+ y0r, y0i, y1r, y1i, y2r, y2i, y3r, y3i;
+
+ mh = n >> 3;
+ m = 2 * mh;
+ j1 = m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[0] + a[j2];
+ x0i = -a[1] - a[j2 + 1];
+ x1r = a[0] - a[j2];
+ x1i = -a[1] + a[j2 + 1];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ a[0] = x0r + x2r;
+ a[1] = x0i - x2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i + x2i;
+ a[j2] = x1r + x3i;
+ a[j2 + 1] = x1i + x3r;
+ a[j3] = x1r - x3i;
+ a[j3 + 1] = x1i - x3r;
+ wn4r = w[1];
+ csc1 = w[2];
+ csc3 = w[3];
+ wd1r = 1;
+ wd1i = 0;
+ wd3r = 1;
+ wd3i = 0;
+ k = 0;
+ for (j = 2; j < mh - 2; j += 4)
+ {
+ k += 4;
+ wk1r = csc1 * (wd1r + w[k]);
+ wk1i = csc1 * (wd1i + w[k + 1]);
+ wk3r = csc3 * (wd3r + w[k + 2]);
+ wk3i = csc3 * (wd3i + w[k + 3]);
+ wd1r = w[k];
+ wd1i = w[k + 1];
+ wd3r = w[k + 2];
+ wd3i = w[k + 3];
+ j1 = j + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j] + a[j2];
+ x0i = -a[j + 1] - a[j2 + 1];
+ x1r = a[j] - a[j2];
+ x1i = -a[j + 1] + a[j2 + 1];
+ y0r = a[j + 2] + a[j2 + 2];
+ y0i = -a[j + 3] - a[j2 + 3];
+ y1r = a[j + 2] - a[j2 + 2];
+ y1i = -a[j + 3] + a[j2 + 3];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ y2r = a[j1 + 2] + a[j3 + 2];
+ y2i = a[j1 + 3] + a[j3 + 3];
+ y3r = a[j1 + 2] - a[j3 + 2];
+ y3i = a[j1 + 3] - a[j3 + 3];
+ a[j] = x0r + x2r;
+ a[j + 1] = x0i - x2i;
+ a[j + 2] = y0r + y2r;
+ a[j + 3] = y0i - y2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i + x2i;
+ a[j1 + 2] = y0r - y2r;
+ a[j1 + 3] = y0i + y2i;
+ x0r = x1r + x3i;
+ x0i = x1i + x3r;
+ a[j2] = wk1r * x0r - wk1i * x0i;
+ a[j2 + 1] = wk1r * x0i + wk1i * x0r;
+ x0r = y1r + y3i;
+ x0i = y1i + y3r;
+ a[j2 + 2] = wd1r * x0r - wd1i * x0i;
+ a[j2 + 3] = wd1r * x0i + wd1i * x0r;
+ x0r = x1r - x3i;
+ x0i = x1i - x3r;
+ a[j3] = wk3r * x0r + wk3i * x0i;
+ a[j3 + 1] = wk3r * x0i - wk3i * x0r;
+ x0r = y1r - y3i;
+ x0i = y1i - y3r;
+ a[j3 + 2] = wd3r * x0r + wd3i * x0i;
+ a[j3 + 3] = wd3r * x0i - wd3i * x0r;
+ j0 = m - j;
+ j1 = j0 + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j0] + a[j2];
+ x0i = -a[j0 + 1] - a[j2 + 1];
+ x1r = a[j0] - a[j2];
+ x1i = -a[j0 + 1] + a[j2 + 1];
+ y0r = a[j0 - 2] + a[j2 - 2];
+ y0i = -a[j0 - 1] - a[j2 - 1];
+ y1r = a[j0 - 2] - a[j2 - 2];
+ y1i = -a[j0 - 1] + a[j2 - 1];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ y2r = a[j1 - 2] + a[j3 - 2];
+ y2i = a[j1 - 1] + a[j3 - 1];
+ y3r = a[j1 - 2] - a[j3 - 2];
+ y3i = a[j1 - 1] - a[j3 - 1];
+ a[j0] = x0r + x2r;
+ a[j0 + 1] = x0i - x2i;
+ a[j0 - 2] = y0r + y2r;
+ a[j0 - 1] = y0i - y2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i + x2i;
+ a[j1 - 2] = y0r - y2r;
+ a[j1 - 1] = y0i + y2i;
+ x0r = x1r + x3i;
+ x0i = x1i + x3r;
+ a[j2] = wk1i * x0r - wk1r * x0i;
+ a[j2 + 1] = wk1i * x0i + wk1r * x0r;
+ x0r = y1r + y3i;
+ x0i = y1i + y3r;
+ a[j2 - 2] = wd1i * x0r - wd1r * x0i;
+ a[j2 - 1] = wd1i * x0i + wd1r * x0r;
+ x0r = x1r - x3i;
+ x0i = x1i - x3r;
+ a[j3] = wk3i * x0r + wk3r * x0i;
+ a[j3 + 1] = wk3i * x0i - wk3r * x0r;
+ x0r = y1r - y3i;
+ x0i = y1i - y3r;
+ a[j3 - 2] = wd3i * x0r + wd3r * x0i;
+ a[j3 - 1] = wd3i * x0i - wd3r * x0r;
+ }
+ wk1r = csc1 * (wd1r + wn4r);
+ wk1i = csc1 * (wd1i + wn4r);
+ wk3r = csc3 * (wd3r - wn4r);
+ wk3i = csc3 * (wd3i - wn4r);
+ j0 = mh;
+ j1 = j0 + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j0 - 2] + a[j2 - 2];
+ x0i = -a[j0 - 1] - a[j2 - 1];
+ x1r = a[j0 - 2] - a[j2 - 2];
+ x1i = -a[j0 - 1] + a[j2 - 1];
+ x2r = a[j1 - 2] + a[j3 - 2];
+ x2i = a[j1 - 1] + a[j3 - 1];
+ x3r = a[j1 - 2] - a[j3 - 2];
+ x3i = a[j1 - 1] - a[j3 - 1];
+ a[j0 - 2] = x0r + x2r;
+ a[j0 - 1] = x0i - x2i;
+ a[j1 - 2] = x0r - x2r;
+ a[j1 - 1] = x0i + x2i;
+ x0r = x1r + x3i;
+ x0i = x1i + x3r;
+ a[j2 - 2] = wk1r * x0r - wk1i * x0i;
+ a[j2 - 1] = wk1r * x0i + wk1i * x0r;
+ x0r = x1r - x3i;
+ x0i = x1i - x3r;
+ a[j3 - 2] = wk3r * x0r + wk3i * x0i;
+ a[j3 - 1] = wk3r * x0i - wk3i * x0r;
+ x0r = a[j0] + a[j2];
+ x0i = -a[j0 + 1] - a[j2 + 1];
+ x1r = a[j0] - a[j2];
+ x1i = -a[j0 + 1] + a[j2 + 1];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ a[j0] = x0r + x2r;
+ a[j0 + 1] = x0i - x2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i + x2i;
+ x0r = x1r + x3i;
+ x0i = x1i + x3r;
+ a[j2] = wn4r * (x0r - x0i);
+ a[j2 + 1] = wn4r * (x0i + x0r);
+ x0r = x1r - x3i;
+ x0i = x1i - x3r;
+ a[j3] = -wn4r * (x0r + x0i);
+ a[j3 + 1] = -wn4r * (x0i - x0r);
+ x0r = a[j0 + 2] + a[j2 + 2];
+ x0i = -a[j0 + 3] - a[j2 + 3];
+ x1r = a[j0 + 2] - a[j2 + 2];
+ x1i = -a[j0 + 3] + a[j2 + 3];
+ x2r = a[j1 + 2] + a[j3 + 2];
+ x2i = a[j1 + 3] + a[j3 + 3];
+ x3r = a[j1 + 2] - a[j3 + 2];
+ x3i = a[j1 + 3] - a[j3 + 3];
+ a[j0 + 2] = x0r + x2r;
+ a[j0 + 3] = x0i - x2i;
+ a[j1 + 2] = x0r - x2r;
+ a[j1 + 3] = x0i + x2i;
+ x0r = x1r + x3i;
+ x0i = x1i + x3r;
+ a[j2 + 2] = wk1i * x0r - wk1r * x0i;
+ a[j2 + 3] = wk1i * x0i + wk1r * x0r;
+ x0r = x1r - x3i;
+ x0i = x1i - x3r;
+ a[j3 + 2] = wk3i * x0r + wk3r * x0i;
+ a[j3 + 3] = wk3i * x0i - wk3r * x0r;
+}
+
+
+#ifdef USE_CDFT_THREADS
+struct cdft_arg_st
+{
+ int n0;
+ int n;
+ double *a;
+ int nw;
+ double *w;
+};
+typedef struct cdft_arg_st cdft_arg_t;
+
+
+void cftrec4_th(int n, double *a, int nw, double *w)
+{
+ void *cftrec1_th(void *p);
+ void *cftrec2_th(void *p);
+ int i, idiv4, m, nthread;
+ cdft_thread_t th[4];
+ cdft_arg_t ag[4];
+
+ nthread = 2;
+ idiv4 = 0;
+ m = n >> 1;
+ if (n > CDFT_4THREADS_BEGIN_N)
+ {
+ nthread = 4;
+ idiv4 = 1;
+ m >>= 1;
+ }
+ for (i = 0; i < nthread; i++)
+ {
+ ag[i].n0 = n;
+ ag[i].n = m;
+ ag[i].a = &a[i * m];
+ ag[i].nw = nw;
+ ag[i].w = w;
+ if (i != idiv4)
+ {
+ cdft_thread_create(&th[i], cftrec1_th, &ag[i]);
+ }
+ else
+ {
+ cdft_thread_create(&th[i], cftrec2_th, &ag[i]);
+ }
+ }
+ for (i = 0; i < nthread; i++)
+ {
+ cdft_thread_wait(th[i]);
+ }
+}
+
+
+void *cftrec1_th(void *p)
+{
+ int cfttree(int n, int j, int k, double *a, int nw, double *w);
+ void cftleaf(int n, int isplt, double *a, int nw, double *w);
+ void cftmdl1(int n, double *a, double *w);
+ int isplt, j, k, m, n, n0, nw;
+ double *a, *w;
+
+ n0 = ((cdft_arg_t *) p)->n0;
+ n = ((cdft_arg_t *) p)->n;
+ a = ((cdft_arg_t *) p)->a;
+ nw = ((cdft_arg_t *) p)->nw;
+ w = ((cdft_arg_t *) p)->w;
+ m = n0;
+ while (m > 512)
+ {
+ m >>= 2;
+ cftmdl1(m, &a[n - m], &w[nw - (m >> 1)]);
+ }
+ cftleaf(m, 1, &a[n - m], nw, w);
+ k = 0;
+ for (j = n - m; j > 0; j -= m)
+ {
+ k++;
+ isplt = cfttree(m, j, k, a, nw, w);
+ cftleaf(m, isplt, &a[j - m], nw, w);
+ }
+ return (void *) 0;
+}
+
+
+void *cftrec2_th(void *p)
+{
+ int cfttree(int n, int j, int k, double *a, int nw, double *w);
+ void cftleaf(int n, int isplt, double *a, int nw, double *w);
+ void cftmdl2(int n, double *a, double *w);
+ int isplt, j, k, m, n, n0, nw;
+ double *a, *w;
+
+ n0 = ((cdft_arg_t *) p)->n0;
+ n = ((cdft_arg_t *) p)->n;
+ a = ((cdft_arg_t *) p)->a;
+ nw = ((cdft_arg_t *) p)->nw;
+ w = ((cdft_arg_t *) p)->w;
+ k = 1;
+ m = n0;
+ while (m > 512)
+ {
+ m >>= 2;
+ k <<= 2;
+ cftmdl2(m, &a[n - m], &w[nw - m]);
+ }
+ cftleaf(m, 0, &a[n - m], nw, w);
+ k >>= 1;
+ for (j = n - m; j > 0; j -= m)
+ {
+ k++;
+ isplt = cfttree(m, j, k, a, nw, w);
+ cftleaf(m, isplt, &a[j - m], nw, w);
+ }
+ return (void *) 0;
+}
+#endif /* USE_CDFT_THREADS */
+
+
+void cftrec4(int n, double *a, int nw, double *w)
+{
+ int cfttree(int n, int j, int k, double *a, int nw, double *w);
+ void cftleaf(int n, int isplt, double *a, int nw, double *w);
+ void cftmdl1(int n, double *a, double *w);
+ int isplt, j, k, m;
+
+ m = n;
+ while (m > 512)
+ {
+ m >>= 2;
+ cftmdl1(m, &a[n - m], &w[nw - (m >> 1)]);
+ }
+ cftleaf(m, 1, &a[n - m], nw, w);
+ k = 0;
+ for (j = n - m; j > 0; j -= m)
+ {
+ k++;
+ isplt = cfttree(m, j, k, a, nw, w);
+ cftleaf(m, isplt, &a[j - m], nw, w);
+ }
+}
+
+
+int cfttree(int n, int j, int k, double *a, int nw, double *w)
+{
+ void cftmdl1(int n, double *a, double *w);
+ void cftmdl2(int n, double *a, double *w);
+ int i, isplt, m;
+
+ if ((k & 3) != 0)
+ {
+ isplt = k & 1;
+ if (isplt != 0)
+ {
+ cftmdl1(n, &a[j - n], &w[nw - (n >> 1)]);
+ }
+ else
+ {
+ cftmdl2(n, &a[j - n], &w[nw - n]);
+ }
+ }
+ else
+ {
+ m = n;
+ for (i = k; (i & 3) == 0; i >>= 2)
+ {
+ m <<= 2;
+ }
+ isplt = i & 1;
+ if (isplt != 0)
+ {
+ while (m > 128)
+ {
+ cftmdl1(m, &a[j - m], &w[nw - (m >> 1)]);
+ m >>= 2;
+ }
+ }
+ else
+ {
+ while (m > 128)
+ {
+ cftmdl2(m, &a[j - m], &w[nw - m]);
+ m >>= 2;
+ }
+ }
+ }
+ return isplt;
+}
+
+
+void cftleaf(int n, int isplt, double *a, int nw, double *w)
+{
+ void cftmdl1(int n, double *a, double *w);
+ void cftmdl2(int n, double *a, double *w);
+ void cftf161(double *a, double *w);
+ void cftf162(double *a, double *w);
+ void cftf081(double *a, double *w);
+ void cftf082(double *a, double *w);
+
+ if (n == 512)
+ {
+ cftmdl1(128, a, &w[nw - 64]);
+ cftf161(a, &w[nw - 8]);
+ cftf162(&a[32], &w[nw - 32]);
+ cftf161(&a[64], &w[nw - 8]);
+ cftf161(&a[96], &w[nw - 8]);
+ cftmdl2(128, &a[128], &w[nw - 128]);
+ cftf161(&a[128], &w[nw - 8]);
+ cftf162(&a[160], &w[nw - 32]);
+ cftf161(&a[192], &w[nw - 8]);
+ cftf162(&a[224], &w[nw - 32]);
+ cftmdl1(128, &a[256], &w[nw - 64]);
+ cftf161(&a[256], &w[nw - 8]);
+ cftf162(&a[288], &w[nw - 32]);
+ cftf161(&a[320], &w[nw - 8]);
+ cftf161(&a[352], &w[nw - 8]);
+ if (isplt != 0)
+ {
+ cftmdl1(128, &a[384], &w[nw - 64]);
+ cftf161(&a[480], &w[nw - 8]);
+ }
+ else
+ {
+ cftmdl2(128, &a[384], &w[nw - 128]);
+ cftf162(&a[480], &w[nw - 32]);
+ }
+ cftf161(&a[384], &w[nw - 8]);
+ cftf162(&a[416], &w[nw - 32]);
+ cftf161(&a[448], &w[nw - 8]);
+ }
+ else
+ {
+ cftmdl1(64, a, &w[nw - 32]);
+ cftf081(a, &w[nw - 8]);
+ cftf082(&a[16], &w[nw - 8]);
+ cftf081(&a[32], &w[nw - 8]);
+ cftf081(&a[48], &w[nw - 8]);
+ cftmdl2(64, &a[64], &w[nw - 64]);
+ cftf081(&a[64], &w[nw - 8]);
+ cftf082(&a[80], &w[nw - 8]);
+ cftf081(&a[96], &w[nw - 8]);
+ cftf082(&a[112], &w[nw - 8]);
+ cftmdl1(64, &a[128], &w[nw - 32]);
+ cftf081(&a[128], &w[nw - 8]);
+ cftf082(&a[144], &w[nw - 8]);
+ cftf081(&a[160], &w[nw - 8]);
+ cftf081(&a[176], &w[nw - 8]);
+ if (isplt != 0)
+ {
+ cftmdl1(64, &a[192], &w[nw - 32]);
+ cftf081(&a[240], &w[nw - 8]);
+ }
+ else
+ {
+ cftmdl2(64, &a[192], &w[nw - 64]);
+ cftf082(&a[240], &w[nw - 8]);
+ }
+ cftf081(&a[192], &w[nw - 8]);
+ cftf082(&a[208], &w[nw - 8]);
+ cftf081(&a[224], &w[nw - 8]);
+ }
+}
+
+
+void cftmdl1(int n, double *a, double *w)
+{
+ int j, j0, j1, j2, j3, k, m, mh;
+ double wn4r, wk1r, wk1i, wk3r, wk3i;
+ double x0r, x0i, x1r, x1i, x2r, x2i, x3r, x3i;
+
+ mh = n >> 3;
+ m = 2 * mh;
+ j1 = m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[0] + a[j2];
+ x0i = a[1] + a[j2 + 1];
+ x1r = a[0] - a[j2];
+ x1i = a[1] - a[j2 + 1];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ a[0] = x0r + x2r;
+ a[1] = x0i + x2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i - x2i;
+ a[j2] = x1r - x3i;
+ a[j2 + 1] = x1i + x3r;
+ a[j3] = x1r + x3i;
+ a[j3 + 1] = x1i - x3r;
+ wn4r = w[1];
+ k = 0;
+ for (j = 2; j < mh; j += 2)
+ {
+ k += 4;
+ wk1r = w[k];
+ wk1i = w[k + 1];
+ wk3r = w[k + 2];
+ wk3i = w[k + 3];
+ j1 = j + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j] + a[j2];
+ x0i = a[j + 1] + a[j2 + 1];
+ x1r = a[j] - a[j2];
+ x1i = a[j + 1] - a[j2 + 1];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ a[j] = x0r + x2r;
+ a[j + 1] = x0i + x2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i - x2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ a[j2] = wk1r * x0r - wk1i * x0i;
+ a[j2 + 1] = wk1r * x0i + wk1i * x0r;
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ a[j3] = wk3r * x0r + wk3i * x0i;
+ a[j3 + 1] = wk3r * x0i - wk3i * x0r;
+ j0 = m - j;
+ j1 = j0 + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j0] + a[j2];
+ x0i = a[j0 + 1] + a[j2 + 1];
+ x1r = a[j0] - a[j2];
+ x1i = a[j0 + 1] - a[j2 + 1];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ a[j0] = x0r + x2r;
+ a[j0 + 1] = x0i + x2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i - x2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ a[j2] = wk1i * x0r - wk1r * x0i;
+ a[j2 + 1] = wk1i * x0i + wk1r * x0r;
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ a[j3] = wk3i * x0r + wk3r * x0i;
+ a[j3 + 1] = wk3i * x0i - wk3r * x0r;
+ }
+ j0 = mh;
+ j1 = j0 + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j0] + a[j2];
+ x0i = a[j0 + 1] + a[j2 + 1];
+ x1r = a[j0] - a[j2];
+ x1i = a[j0 + 1] - a[j2 + 1];
+ x2r = a[j1] + a[j3];
+ x2i = a[j1 + 1] + a[j3 + 1];
+ x3r = a[j1] - a[j3];
+ x3i = a[j1 + 1] - a[j3 + 1];
+ a[j0] = x0r + x2r;
+ a[j0 + 1] = x0i + x2i;
+ a[j1] = x0r - x2r;
+ a[j1 + 1] = x0i - x2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ a[j2] = wn4r * (x0r - x0i);
+ a[j2 + 1] = wn4r * (x0i + x0r);
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ a[j3] = -wn4r * (x0r + x0i);
+ a[j3 + 1] = -wn4r * (x0i - x0r);
+}
+
+
+void cftmdl2(int n, double *a, double *w)
+{
+ int j, j0, j1, j2, j3, k, kr, m, mh;
+ double wn4r, wk1r, wk1i, wk3r, wk3i, wd1r, wd1i, wd3r, wd3i;
+ double x0r, x0i, x1r, x1i, x2r, x2i, x3r, x3i, y0r, y0i, y2r, y2i;
+
+ mh = n >> 3;
+ m = 2 * mh;
+ wn4r = w[1];
+ j1 = m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[0] - a[j2 + 1];
+ x0i = a[1] + a[j2];
+ x1r = a[0] + a[j2 + 1];
+ x1i = a[1] - a[j2];
+ x2r = a[j1] - a[j3 + 1];
+ x2i = a[j1 + 1] + a[j3];
+ x3r = a[j1] + a[j3 + 1];
+ x3i = a[j1 + 1] - a[j3];
+ y0r = wn4r * (x2r - x2i);
+ y0i = wn4r * (x2i + x2r);
+ a[0] = x0r + y0r;
+ a[1] = x0i + y0i;
+ a[j1] = x0r - y0r;
+ a[j1 + 1] = x0i - y0i;
+ y0r = wn4r * (x3r - x3i);
+ y0i = wn4r * (x3i + x3r);
+ a[j2] = x1r - y0i;
+ a[j2 + 1] = x1i + y0r;
+ a[j3] = x1r + y0i;
+ a[j3 + 1] = x1i - y0r;
+ k = 0;
+ kr = 2 * m;
+ for (j = 2; j < mh; j += 2)
+ {
+ k += 4;
+ wk1r = w[k];
+ wk1i = w[k + 1];
+ wk3r = w[k + 2];
+ wk3i = w[k + 3];
+ kr -= 4;
+ wd1i = w[kr];
+ wd1r = w[kr + 1];
+ wd3i = w[kr + 2];
+ wd3r = w[kr + 3];
+ j1 = j + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j] - a[j2 + 1];
+ x0i = a[j + 1] + a[j2];
+ x1r = a[j] + a[j2 + 1];
+ x1i = a[j + 1] - a[j2];
+ x2r = a[j1] - a[j3 + 1];
+ x2i = a[j1 + 1] + a[j3];
+ x3r = a[j1] + a[j3 + 1];
+ x3i = a[j1 + 1] - a[j3];
+ y0r = wk1r * x0r - wk1i * x0i;
+ y0i = wk1r * x0i + wk1i * x0r;
+ y2r = wd1r * x2r - wd1i * x2i;
+ y2i = wd1r * x2i + wd1i * x2r;
+ a[j] = y0r + y2r;
+ a[j + 1] = y0i + y2i;
+ a[j1] = y0r - y2r;
+ a[j1 + 1] = y0i - y2i;
+ y0r = wk3r * x1r + wk3i * x1i;
+ y0i = wk3r * x1i - wk3i * x1r;
+ y2r = wd3r * x3r + wd3i * x3i;
+ y2i = wd3r * x3i - wd3i * x3r;
+ a[j2] = y0r + y2r;
+ a[j2 + 1] = y0i + y2i;
+ a[j3] = y0r - y2r;
+ a[j3 + 1] = y0i - y2i;
+ j0 = m - j;
+ j1 = j0 + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j0] - a[j2 + 1];
+ x0i = a[j0 + 1] + a[j2];
+ x1r = a[j0] + a[j2 + 1];
+ x1i = a[j0 + 1] - a[j2];
+ x2r = a[j1] - a[j3 + 1];
+ x2i = a[j1 + 1] + a[j3];
+ x3r = a[j1] + a[j3 + 1];
+ x3i = a[j1 + 1] - a[j3];
+ y0r = wd1i * x0r - wd1r * x0i;
+ y0i = wd1i * x0i + wd1r * x0r;
+ y2r = wk1i * x2r - wk1r * x2i;
+ y2i = wk1i * x2i + wk1r * x2r;
+ a[j0] = y0r + y2r;
+ a[j0 + 1] = y0i + y2i;
+ a[j1] = y0r - y2r;
+ a[j1 + 1] = y0i - y2i;
+ y0r = wd3i * x1r + wd3r * x1i;
+ y0i = wd3i * x1i - wd3r * x1r;
+ y2r = wk3i * x3r + wk3r * x3i;
+ y2i = wk3i * x3i - wk3r * x3r;
+ a[j2] = y0r + y2r;
+ a[j2 + 1] = y0i + y2i;
+ a[j3] = y0r - y2r;
+ a[j3 + 1] = y0i - y2i;
+ }
+ wk1r = w[m];
+ wk1i = w[m + 1];
+ j0 = mh;
+ j1 = j0 + m;
+ j2 = j1 + m;
+ j3 = j2 + m;
+ x0r = a[j0] - a[j2 + 1];
+ x0i = a[j0 + 1] + a[j2];
+ x1r = a[j0] + a[j2 + 1];
+ x1i = a[j0 + 1] - a[j2];
+ x2r = a[j1] - a[j3 + 1];
+ x2i = a[j1 + 1] + a[j3];
+ x3r = a[j1] + a[j3 + 1];
+ x3i = a[j1 + 1] - a[j3];
+ y0r = wk1r * x0r - wk1i * x0i;
+ y0i = wk1r * x0i + wk1i * x0r;
+ y2r = wk1i * x2r - wk1r * x2i;
+ y2i = wk1i * x2i + wk1r * x2r;
+ a[j0] = y0r + y2r;
+ a[j0 + 1] = y0i + y2i;
+ a[j1] = y0r - y2r;
+ a[j1 + 1] = y0i - y2i;
+ y0r = wk1i * x1r - wk1r * x1i;
+ y0i = wk1i * x1i + wk1r * x1r;
+ y2r = wk1r * x3r - wk1i * x3i;
+ y2i = wk1r * x3i + wk1i * x3r;
+ a[j2] = y0r - y2r;
+ a[j2 + 1] = y0i - y2i;
+ a[j3] = y0r + y2r;
+ a[j3 + 1] = y0i + y2i;
+}
+
+
+void cftfx41(int n, double *a, int nw, double *w)
+{
+ void cftf161(double *a, double *w);
+ void cftf162(double *a, double *w);
+ void cftf081(double *a, double *w);
+ void cftf082(double *a, double *w);
+
+ if (n == 128)
+ {
+ cftf161(a, &w[nw - 8]);
+ cftf162(&a[32], &w[nw - 32]);
+ cftf161(&a[64], &w[nw - 8]);
+ cftf161(&a[96], &w[nw - 8]);
+ }
+ else
+ {
+ cftf081(a, &w[nw - 8]);
+ cftf082(&a[16], &w[nw - 8]);
+ cftf081(&a[32], &w[nw - 8]);
+ cftf081(&a[48], &w[nw - 8]);
+ }
+}
+
+
+void cftf161(double *a, double *w)
+{
+ double wn4r, wk1r, wk1i,
+ x0r, x0i, x1r, x1i, x2r, x2i, x3r, x3i,
+ y0r, y0i, y1r, y1i, y2r, y2i, y3r, y3i,
+ y4r, y4i, y5r, y5i, y6r, y6i, y7r, y7i,
+ y8r, y8i, y9r, y9i, y10r, y10i, y11r, y11i,
+ y12r, y12i, y13r, y13i, y14r, y14i, y15r, y15i;
+
+ wn4r = w[1];
+ wk1r = w[2];
+ wk1i = w[3];
+ x0r = a[0] + a[16];
+ x0i = a[1] + a[17];
+ x1r = a[0] - a[16];
+ x1i = a[1] - a[17];
+ x2r = a[8] + a[24];
+ x2i = a[9] + a[25];
+ x3r = a[8] - a[24];
+ x3i = a[9] - a[25];
+ y0r = x0r + x2r;
+ y0i = x0i + x2i;
+ y4r = x0r - x2r;
+ y4i = x0i - x2i;
+ y8r = x1r - x3i;
+ y8i = x1i + x3r;
+ y12r = x1r + x3i;
+ y12i = x1i - x3r;
+ x0r = a[2] + a[18];
+ x0i = a[3] + a[19];
+ x1r = a[2] - a[18];
+ x1i = a[3] - a[19];
+ x2r = a[10] + a[26];
+ x2i = a[11] + a[27];
+ x3r = a[10] - a[26];
+ x3i = a[11] - a[27];
+ y1r = x0r + x2r;
+ y1i = x0i + x2i;
+ y5r = x0r - x2r;
+ y5i = x0i - x2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ y9r = wk1r * x0r - wk1i * x0i;
+ y9i = wk1r * x0i + wk1i * x0r;
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ y13r = wk1i * x0r - wk1r * x0i;
+ y13i = wk1i * x0i + wk1r * x0r;
+ x0r = a[4] + a[20];
+ x0i = a[5] + a[21];
+ x1r = a[4] - a[20];
+ x1i = a[5] - a[21];
+ x2r = a[12] + a[28];
+ x2i = a[13] + a[29];
+ x3r = a[12] - a[28];
+ x3i = a[13] - a[29];
+ y2r = x0r + x2r;
+ y2i = x0i + x2i;
+ y6r = x0r - x2r;
+ y6i = x0i - x2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ y10r = wn4r * (x0r - x0i);
+ y10i = wn4r * (x0i + x0r);
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ y14r = wn4r * (x0r + x0i);
+ y14i = wn4r * (x0i - x0r);
+ x0r = a[6] + a[22];
+ x0i = a[7] + a[23];
+ x1r = a[6] - a[22];
+ x1i = a[7] - a[23];
+ x2r = a[14] + a[30];
+ x2i = a[15] + a[31];
+ x3r = a[14] - a[30];
+ x3i = a[15] - a[31];
+ y3r = x0r + x2r;
+ y3i = x0i + x2i;
+ y7r = x0r - x2r;
+ y7i = x0i - x2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ y11r = wk1i * x0r - wk1r * x0i;
+ y11i = wk1i * x0i + wk1r * x0r;
+ x0r = x1r + x3i;
+ x0i = x1i - x3r;
+ y15r = wk1r * x0r - wk1i * x0i;
+ y15i = wk1r * x0i + wk1i * x0r;
+ x0r = y12r - y14r;
+ x0i = y12i - y14i;
+ x1r = y12r + y14r;
+ x1i = y12i + y14i;
+ x2r = y13r - y15r;
+ x2i = y13i - y15i;
+ x3r = y13r + y15r;
+ x3i = y13i + y15i;
+ a[24] = x0r + x2r;
+ a[25] = x0i + x2i;
+ a[26] = x0r - x2r;
+ a[27] = x0i - x2i;
+ a[28] = x1r - x3i;
+ a[29] = x1i + x3r;
+ a[30] = x1r + x3i;
+ a[31] = x1i - x3r;
+ x0r = y8r + y10r;
+ x0i = y8i + y10i;
+ x1r = y8r - y10r;
+ x1i = y8i - y10i;
+ x2r = y9r + y11r;
+ x2i = y9i + y11i;
+ x3r = y9r - y11r;
+ x3i = y9i - y11i;
+ a[16] = x0r + x2r;
+ a[17] = x0i + x2i;
+ a[18] = x0r - x2r;
+ a[19] = x0i - x2i;
+ a[20] = x1r - x3i;
+ a[21] = x1i + x3r;
+ a[22] = x1r + x3i;
+ a[23] = x1i - x3r;
+ x0r = y5r - y7i;
+ x0i = y5i + y7r;
+ x2r = wn4r * (x0r - x0i);
+ x2i = wn4r * (x0i + x0r);
+ x0r = y5r + y7i;
+ x0i = y5i - y7r;
+ x3r = wn4r * (x0r - x0i);
+ x3i = wn4r * (x0i + x0r);
+ x0r = y4r - y6i;
+ x0i = y4i + y6r;
+ x1r = y4r + y6i;
+ x1i = y4i - y6r;
+ a[8] = x0r + x2r;
+ a[9] = x0i + x2i;
+ a[10] = x0r - x2r;
+ a[11] = x0i - x2i;
+ a[12] = x1r - x3i;
+ a[13] = x1i + x3r;
+ a[14] = x1r + x3i;
+ a[15] = x1i - x3r;
+ x0r = y0r + y2r;
+ x0i = y0i + y2i;
+ x1r = y0r - y2r;
+ x1i = y0i - y2i;
+ x2r = y1r + y3r;
+ x2i = y1i + y3i;
+ x3r = y1r - y3r;
+ x3i = y1i - y3i;
+ a[0] = x0r + x2r;
+ a[1] = x0i + x2i;
+ a[2] = x0r - x2r;
+ a[3] = x0i - x2i;
+ a[4] = x1r - x3i;
+ a[5] = x1i + x3r;
+ a[6] = x1r + x3i;
+ a[7] = x1i - x3r;
+}
+
+
+void cftf162(double *a, double *w)
+{
+ double wn4r, wk1r, wk1i, wk2r, wk2i, wk3r, wk3i,
+ x0r, x0i, x1r, x1i, x2r, x2i,
+ y0r, y0i, y1r, y1i, y2r, y2i, y3r, y3i,
+ y4r, y4i, y5r, y5i, y6r, y6i, y7r, y7i,
+ y8r, y8i, y9r, y9i, y10r, y10i, y11r, y11i,
+ y12r, y12i, y13r, y13i, y14r, y14i, y15r, y15i;
+
+ wn4r = w[1];
+ wk1r = w[4];
+ wk1i = w[5];
+ wk3r = w[6];
+ wk3i = -w[7];
+ wk2r = w[8];
+ wk2i = w[9];
+ x1r = a[0] - a[17];
+ x1i = a[1] + a[16];
+ x0r = a[8] - a[25];
+ x0i = a[9] + a[24];
+ x2r = wn4r * (x0r - x0i);
+ x2i = wn4r * (x0i + x0r);
+ y0r = x1r + x2r;
+ y0i = x1i + x2i;
+ y4r = x1r - x2r;
+ y4i = x1i - x2i;
+ x1r = a[0] + a[17];
+ x1i = a[1] - a[16];
+ x0r = a[8] + a[25];
+ x0i = a[9] - a[24];
+ x2r = wn4r * (x0r - x0i);
+ x2i = wn4r * (x0i + x0r);
+ y8r = x1r - x2i;
+ y8i = x1i + x2r;
+ y12r = x1r + x2i;
+ y12i = x1i - x2r;
+ x0r = a[2] - a[19];
+ x0i = a[3] + a[18];
+ x1r = wk1r * x0r - wk1i * x0i;
+ x1i = wk1r * x0i + wk1i * x0r;
+ x0r = a[10] - a[27];
+ x0i = a[11] + a[26];
+ x2r = wk3i * x0r - wk3r * x0i;
+ x2i = wk3i * x0i + wk3r * x0r;
+ y1r = x1r + x2r;
+ y1i = x1i + x2i;
+ y5r = x1r - x2r;
+ y5i = x1i - x2i;
+ x0r = a[2] + a[19];
+ x0i = a[3] - a[18];
+ x1r = wk3r * x0r - wk3i * x0i;
+ x1i = wk3r * x0i + wk3i * x0r;
+ x0r = a[10] + a[27];
+ x0i = a[11] - a[26];
+ x2r = wk1r * x0r + wk1i * x0i;
+ x2i = wk1r * x0i - wk1i * x0r;
+ y9r = x1r - x2r;
+ y9i = x1i - x2i;
+ y13r = x1r + x2r;
+ y13i = x1i + x2i;
+ x0r = a[4] - a[21];
+ x0i = a[5] + a[20];
+ x1r = wk2r * x0r - wk2i * x0i;
+ x1i = wk2r * x0i + wk2i * x0r;
+ x0r = a[12] - a[29];
+ x0i = a[13] + a[28];
+ x2r = wk2i * x0r - wk2r * x0i;
+ x2i = wk2i * x0i + wk2r * x0r;
+ y2r = x1r + x2r;
+ y2i = x1i + x2i;
+ y6r = x1r - x2r;
+ y6i = x1i - x2i;
+ x0r = a[4] + a[21];
+ x0i = a[5] - a[20];
+ x1r = wk2i * x0r - wk2r * x0i;
+ x1i = wk2i * x0i + wk2r * x0r;
+ x0r = a[12] + a[29];
+ x0i = a[13] - a[28];
+ x2r = wk2r * x0r - wk2i * x0i;
+ x2i = wk2r * x0i + wk2i * x0r;
+ y10r = x1r - x2r;
+ y10i = x1i - x2i;
+ y14r = x1r + x2r;
+ y14i = x1i + x2i;
+ x0r = a[6] - a[23];
+ x0i = a[7] + a[22];
+ x1r = wk3r * x0r - wk3i * x0i;
+ x1i = wk3r * x0i + wk3i * x0r;
+ x0r = a[14] - a[31];
+ x0i = a[15] + a[30];
+ x2r = wk1i * x0r - wk1r * x0i;
+ x2i = wk1i * x0i + wk1r * x0r;
+ y3r = x1r + x2r;
+ y3i = x1i + x2i;
+ y7r = x1r - x2r;
+ y7i = x1i - x2i;
+ x0r = a[6] + a[23];
+ x0i = a[7] - a[22];
+ x1r = wk1i * x0r + wk1r * x0i;
+ x1i = wk1i * x0i - wk1r * x0r;
+ x0r = a[14] + a[31];
+ x0i = a[15] - a[30];
+ x2r = wk3i * x0r - wk3r * x0i;
+ x2i = wk3i * x0i + wk3r * x0r;
+ y11r = x1r + x2r;
+ y11i = x1i + x2i;
+ y15r = x1r - x2r;
+ y15i = x1i - x2i;
+ x1r = y0r + y2r;
+ x1i = y0i + y2i;
+ x2r = y1r + y3r;
+ x2i = y1i + y3i;
+ a[0] = x1r + x2r;
+ a[1] = x1i + x2i;
+ a[2] = x1r - x2r;
+ a[3] = x1i - x2i;
+ x1r = y0r - y2r;
+ x1i = y0i - y2i;
+ x2r = y1r - y3r;
+ x2i = y1i - y3i;
+ a[4] = x1r - x2i;
+ a[5] = x1i + x2r;
+ a[6] = x1r + x2i;
+ a[7] = x1i - x2r;
+ x1r = y4r - y6i;
+ x1i = y4i + y6r;
+ x0r = y5r - y7i;
+ x0i = y5i + y7r;
+ x2r = wn4r * (x0r - x0i);
+ x2i = wn4r * (x0i + x0r);
+ a[8] = x1r + x2r;
+ a[9] = x1i + x2i;
+ a[10] = x1r - x2r;
+ a[11] = x1i - x2i;
+ x1r = y4r + y6i;
+ x1i = y4i - y6r;
+ x0r = y5r + y7i;
+ x0i = y5i - y7r;
+ x2r = wn4r * (x0r - x0i);
+ x2i = wn4r * (x0i + x0r);
+ a[12] = x1r - x2i;
+ a[13] = x1i + x2r;
+ a[14] = x1r + x2i;
+ a[15] = x1i - x2r;
+ x1r = y8r + y10r;
+ x1i = y8i + y10i;
+ x2r = y9r - y11r;
+ x2i = y9i - y11i;
+ a[16] = x1r + x2r;
+ a[17] = x1i + x2i;
+ a[18] = x1r - x2r;
+ a[19] = x1i - x2i;
+ x1r = y8r - y10r;
+ x1i = y8i - y10i;
+ x2r = y9r + y11r;
+ x2i = y9i + y11i;
+ a[20] = x1r - x2i;
+ a[21] = x1i + x2r;
+ a[22] = x1r + x2i;
+ a[23] = x1i - x2r;
+ x1r = y12r - y14i;
+ x1i = y12i + y14r;
+ x0r = y13r + y15i;
+ x0i = y13i - y15r;
+ x2r = wn4r * (x0r - x0i);
+ x2i = wn4r * (x0i + x0r);
+ a[24] = x1r + x2r;
+ a[25] = x1i + x2i;
+ a[26] = x1r - x2r;
+ a[27] = x1i - x2i;
+ x1r = y12r + y14i;
+ x1i = y12i - y14r;
+ x0r = y13r - y15i;
+ x0i = y13i + y15r;
+ x2r = wn4r * (x0r - x0i);
+ x2i = wn4r * (x0i + x0r);
+ a[28] = x1r - x2i;
+ a[29] = x1i + x2r;
+ a[30] = x1r + x2i;
+ a[31] = x1i - x2r;
+}
+
+
+void cftf081(double *a, double *w)
+{
+ double wn4r, x0r, x0i, x1r, x1i, x2r, x2i, x3r, x3i,
+ y0r, y0i, y1r, y1i, y2r, y2i, y3r, y3i,
+ y4r, y4i, y5r, y5i, y6r, y6i, y7r, y7i;
+
+ wn4r = w[1];
+ x0r = a[0] + a[8];
+ x0i = a[1] + a[9];
+ x1r = a[0] - a[8];
+ x1i = a[1] - a[9];
+ x2r = a[4] + a[12];
+ x2i = a[5] + a[13];
+ x3r = a[4] - a[12];
+ x3i = a[5] - a[13];
+ y0r = x0r + x2r;
+ y0i = x0i + x2i;
+ y2r = x0r - x2r;
+ y2i = x0i - x2i;
+ y1r = x1r - x3i;
+ y1i = x1i + x3r;
+ y3r = x1r + x3i;
+ y3i = x1i - x3r;
+ x0r = a[2] + a[10];
+ x0i = a[3] + a[11];
+ x1r = a[2] - a[10];
+ x1i = a[3] - a[11];
+ x2r = a[6] + a[14];
+ x2i = a[7] + a[15];
+ x3r = a[6] - a[14];
+ x3i = a[7] - a[15];
+ y4r = x0r + x2r;
+ y4i = x0i + x2i;
+ y6r = x0r - x2r;
+ y6i = x0i - x2i;
+ x0r = x1r - x3i;
+ x0i = x1i + x3r;
+ x2r = x1r + x3i;
+ x2i = x1i - x3r;
+ y5r = wn4r * (x0r - x0i);
+ y5i = wn4r * (x0r + x0i);
+ y7r = wn4r * (x2r - x2i);
+ y7i = wn4r * (x2r + x2i);
+ a[8] = y1r + y5r;
+ a[9] = y1i + y5i;
+ a[10] = y1r - y5r;
+ a[11] = y1i - y5i;
+ a[12] = y3r - y7i;
+ a[13] = y3i + y7r;
+ a[14] = y3r + y7i;
+ a[15] = y3i - y7r;
+ a[0] = y0r + y4r;
+ a[1] = y0i + y4i;
+ a[2] = y0r - y4r;
+ a[3] = y0i - y4i;
+ a[4] = y2r - y6i;
+ a[5] = y2i + y6r;
+ a[6] = y2r + y6i;
+ a[7] = y2i - y6r;
+}
+
+
+void cftf082(double *a, double *w)
+{
+ double wn4r, wk1r, wk1i, x0r, x0i, x1r, x1i,
+ y0r, y0i, y1r, y1i, y2r, y2i, y3r, y3i,
+ y4r, y4i, y5r, y5i, y6r, y6i, y7r, y7i;
+
+ wn4r = w[1];
+ wk1r = w[2];
+ wk1i = w[3];
+ y0r = a[0] - a[9];
+ y0i = a[1] + a[8];
+ y1r = a[0] + a[9];
+ y1i = a[1] - a[8];
+ x0r = a[4] - a[13];
+ x0i = a[5] + a[12];
+ y2r = wn4r * (x0r - x0i);
+ y2i = wn4r * (x0i + x0r);
+ x0r = a[4] + a[13];
+ x0i = a[5] - a[12];
+ y3r = wn4r * (x0r - x0i);
+ y3i = wn4r * (x0i + x0r);
+ x0r = a[2] - a[11];
+ x0i = a[3] + a[10];
+ y4r = wk1r * x0r - wk1i * x0i;
+ y4i = wk1r * x0i + wk1i * x0r;
+ x0r = a[2] + a[11];
+ x0i = a[3] - a[10];
+ y5r = wk1i * x0r - wk1r * x0i;
+ y5i = wk1i * x0i + wk1r * x0r;
+ x0r = a[6] - a[15];
+ x0i = a[7] + a[14];
+ y6r = wk1i * x0r - wk1r * x0i;
+ y6i = wk1i * x0i + wk1r * x0r;
+ x0r = a[6] + a[15];
+ x0i = a[7] - a[14];
+ y7r = wk1r * x0r - wk1i * x0i;
+ y7i = wk1r * x0i + wk1i * x0r;
+ x0r = y0r + y2r;
+ x0i = y0i + y2i;
+ x1r = y4r + y6r;
+ x1i = y4i + y6i;
+ a[0] = x0r + x1r;
+ a[1] = x0i + x1i;
+ a[2] = x0r - x1r;
+ a[3] = x0i - x1i;
+ x0r = y0r - y2r;
+ x0i = y0i - y2i;
+ x1r = y4r - y6r;
+ x1i = y4i - y6i;
+ a[4] = x0r - x1i;
+ a[5] = x0i + x1r;
+ a[6] = x0r + x1i;
+ a[7] = x0i - x1r;
+ x0r = y1r - y3i;
+ x0i = y1i + y3r;
+ x1r = y5r - y7r;
+ x1i = y5i - y7i;
+ a[8] = x0r + x1r;
+ a[9] = x0i + x1i;
+ a[10] = x0r - x1r;
+ a[11] = x0i - x1i;
+ x0r = y1r + y3i;
+ x0i = y1i - y3r;
+ x1r = y5r + y7r;
+ x1i = y5i + y7i;
+ a[12] = x0r - x1i;
+ a[13] = x0i + x1r;
+ a[14] = x0r + x1i;
+ a[15] = x0i - x1r;
+}
+
+
+void cftf040(double *a)
+{
+ double x0r, x0i, x1r, x1i, x2r, x2i, x3r, x3i;
+
+ x0r = a[0] + a[4];
+ x0i = a[1] + a[5];
+ x1r = a[0] - a[4];
+ x1i = a[1] - a[5];
+ x2r = a[2] + a[6];
+ x2i = a[3] + a[7];
+ x3r = a[2] - a[6];
+ x3i = a[3] - a[7];
+ a[0] = x0r + x2r;
+ a[1] = x0i + x2i;
+ a[2] = x1r - x3i;
+ a[3] = x1i + x3r;
+ a[4] = x0r - x2r;
+ a[5] = x0i - x2i;
+ a[6] = x1r + x3i;
+ a[7] = x1i - x3r;
+}
+
+
+void cftb040(double *a)
+{
+ double x0r, x0i, x1r, x1i, x2r, x2i, x3r, x3i;
+
+ x0r = a[0] + a[4];
+ x0i = a[1] + a[5];
+ x1r = a[0] - a[4];
+ x1i = a[1] - a[5];
+ x2r = a[2] + a[6];
+ x2i = a[3] + a[7];
+ x3r = a[2] - a[6];
+ x3i = a[3] - a[7];
+ a[0] = x0r + x2r;
+ a[1] = x0i + x2i;
+ a[2] = x1r + x3i;
+ a[3] = x1i - x3r;
+ a[4] = x0r - x2r;
+ a[5] = x0i - x2i;
+ a[6] = x1r - x3i;
+ a[7] = x1i + x3r;
+}
+
+
+void cftx020(double *a)
+{
+ double x0r, x0i;
+
+ x0r = a[0] - a[2];
+ x0i = a[1] - a[3];
+ a[0] += a[2];
+ a[1] += a[3];
+ a[2] = x0r;
+ a[3] = x0i;
+}
+
+
+void rftfsub(int n, double *a, int nc, double *c)
+{
+ int j, k, kk, ks, m;
+ double wkr, wki, xr, xi, yr, yi;
+
+ m = n >> 1;
+ ks = 2 * nc / m;
+ kk = 0;
+ for (j = 2; j < m; j += 2)
+ {
+ k = n - j;
+ kk += ks;
+ wkr = 0.5 - c[nc - kk];
+ wki = c[kk];
+ xr = a[j] - a[k];
+ xi = a[j + 1] + a[k + 1];
+ yr = wkr * xr - wki * xi;
+ yi = wkr * xi + wki * xr;
+ a[j] -= yr;
+ a[j + 1] -= yi;
+ a[k] += yr;
+ a[k + 1] -= yi;
+ }
+}
+
+
+void rftbsub(int n, double *a, int nc, double *c)
+{
+ int j, k, kk, ks, m;
+ double wkr, wki, xr, xi, yr, yi;
+
+ m = n >> 1;
+ ks = 2 * nc / m;
+ kk = 0;
+ for (j = 2; j < m; j += 2)
+ {
+ k = n - j;
+ kk += ks;
+ wkr = 0.5 - c[nc - kk];
+ wki = c[kk];
+ xr = a[j] - a[k];
+ xi = a[j + 1] + a[k + 1];
+ yr = wkr * xr + wki * xi;
+ yi = wkr * xi - wki * xr;
+ a[j] -= yr;
+ a[j + 1] -= yi;
+ a[k] += yr;
+ a[k + 1] -= yi;
+ }
+}
+
+
+void dctsub(int n, double *a, int nc, double *c)
+{
+ int j, k, kk, ks, m;
+ double wkr, wki, xr;
+
+ m = n >> 1;
+ ks = nc / n;
+ kk = 0;
+ for (j = 1; j < m; j++)
+ {
+ k = n - j;
+ kk += ks;
+ wkr = c[kk] - c[nc - kk];
+ wki = c[kk] + c[nc - kk];
+ xr = wki * a[j] - wkr * a[k];
+ a[j] = wkr * a[j] + wki * a[k];
+ a[k] = xr;
+ }
+ a[m] *= c[0];
+}
+
+
+void dstsub(int n, double *a, int nc, double *c)
+{
+ int j, k, kk, ks, m;
+ double wkr, wki, xr;
+
+ m = n >> 1;
+ ks = nc / n;
+ kk = 0;
+ for (j = 1; j < m; j++)
+ {
+ k = n - j;
+ kk += ks;
+ wkr = c[kk] - c[nc - kk];
+ wki = c[kk] + c[nc - kk];
+ xr = wki * a[k] - wkr * a[j];
+ a[k] = wkr * a[k] + wki * a[j];
+ a[j] = xr;
+ }
+ a[m] *= c[0];
+}
+
diff --git a/src/fftsg.h b/src/fftsg.h
new file mode 100644
index 0000000..eb7fc8a
--- /dev/null
+++ b/src/fftsg.h
@@ -0,0 +1,21 @@
+/* FFT functions */
+void cdft(int n, int isgn, double *a, int *ip, double *w);
+void rdft(int n, int isgn, double *a, int *ip, double *w);
+void ddct(int n, int isgn, double *a, int *ip, double *w);
+void ddst(int n, int isgn, double *a, int *ip, double *w);
+void dfct(int n, double *a, double *t, int *ip, double *w);
+void dfst(int n, double *a, double *t, int *ip, double *w);
+
+/* Auxiliary functions */
+void makewt(int nw, int *ip, double *w);
+void bitrv2(int n, int *ip, double *a);
+void bitrv2conj(int n, int *ip, double *a);
+void cftfsub(int n, double *a, double *w);
+void cftbsub(int n, double *a, double *w);
+void makect(int nc, int *ip, double *c);
+void rftfsub(int n, double *a, int nc, double *c);
+void rftbsub(int n, double *a, int nc, double *c);
+void dctsub(int n, double *a, int nc, double *c);
+void dstsub(int n, double *a, int nc, double *c);
+void cft1st(int n, double *a, double *w);
+void cftmdl(int n, int l, double *a, double *w);
diff --git a/src/fini.c b/src/fini.c
index 35b7f65..59b9806 100644
--- a/src/fini.c
+++ b/src/fini.c
@@ -14,17 +14,13 @@
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
* USA.
*/
/* fini.c: Contains library destructor routine */
-#ifdef XTRACT_FFT
-#include <fftw3.h>
-//#include "xtract_globals_private.h"
#include "xtract/libxtract.h"
-#endif
#ifdef __GNUC__
__attribute__((destructor)) void fini()
@@ -32,10 +28,7 @@ __attribute__((destructor)) void fini()
void _fini()
#endif
{
-#ifdef XTRACT_FFT
-xtract_free_fft();
-fftwf_cleanup();
-#endif
+ xtract_free_fft();
}
diff --git a/src/helper.c b/src/helper.c
index e9e79e5..4fd9975 100644
--- a/src/helper.c
+++ b/src/helper.c
@@ -1,5 +1,5 @@
/* libxtract feature extraction library
- *
+ *
* Copyright (C) 2006 Jamie Bullock
*
* This program is free software; you can redistribute it and/or modify
@@ -14,7 +14,7 @@
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
* USA.
*/
@@ -33,7 +33,8 @@
#define INDEX 1
#endif
-int xtract_windowed(const float *data, const int N, const void *argv, float *result){
+int xtract_windowed(const float *data, const int N, const void *argv, float *result)
+{
int n;
const float *window;
@@ -48,7 +49,8 @@ int xtract_windowed(const float *data, const int N, const void *argv, float *res
}
-int xtract_features_from_subframes(const float *data, const int N, const int feature, const void *argv, float *result){
+int xtract_features_from_subframes(const float *data, const int N, const int feature, const void *argv, float *result)
+{
const float *frame1,
*frame2;
@@ -73,7 +75,8 @@ int xtract_features_from_subframes(const float *data, const int N, const int fea
}
-inline int xtract_is_denormal(double const d){
+inline int xtract_is_denormal(double const d)
+{
if(sizeof(d) != 2 * sizeof(int))
fprintf(stderr, "libxtract: Error: xtract_is_denormal() detects inconsistent wordlength for type 'double'\n");
@@ -81,3 +84,8 @@ inline int xtract_is_denormal(double const d){
return (l&0x7ff00000) == 0 && d!=0; //Check for 0 may not be necessary
}
+inline bool xtract_is_poweroftwo(unsigned int x)
+{
+ return ((x != 0) && !(x & (x - 1)));
+}
+
diff --git a/src/init.c b/src/init.c
index 0fb272b..e86d187 100644
--- a/src/init.c
+++ b/src/init.c
@@ -1,5 +1,5 @@
/* libxtract feature extraction library
- *
+ *
* Copyright (C) 2006 Jamie Bullock
*
* This program is free software; you can redistribute it and/or modify
@@ -14,7 +14,7 @@
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
* USA.
*/
@@ -26,41 +26,38 @@
#include <math.h>
#include <stdlib.h>
+#include <stdio.h>
+
+#include "fftsg.h"
#include "xtract/libxtract.h"
#include "xtract_window_private.h"
#define DEFINE_GLOBALS
#include "xtract_globals_private.h"
-#ifdef XTRACT_FFT
-#include <fftw3.h>
-#ifndef XTRACT_FFT_OPTIMISATION_LEVEL
-/* This should never happen */
-#define XTRACT_FFT_OPTIMISATION_LEVEL 1
-#endif
-
-int xtract_init_mfcc(int N, float nyquist, int style, float freq_min, float freq_max, int freq_bands, float **fft_tables){
+int xtract_init_mfcc(int N, float nyquist, int style, float freq_min, float freq_max, int freq_bands, float **fft_tables)
+{
- int n, i, k, *fft_peak, M, next_peak;
- float norm, mel_freq_max, mel_freq_min, norm_fact, height, inc, val,
+ int n, i, k, *fft_peak, M, next_peak;
+ float norm, mel_freq_max, mel_freq_min, norm_fact, height, inc, val,
freq_bw_mel, *mel_peak, *height_norm, *lin_peak;
mel_peak = height_norm = lin_peak = NULL;
fft_peak = NULL;
- norm = 1;
+ norm = 1;
mel_freq_max = 1127 * log(1 + freq_max / 700);
mel_freq_min = 1127 * log(1 + freq_min / 700);
freq_bw_mel = (mel_freq_max - mel_freq_min) / freq_bands;
- mel_peak = (float *)malloc((freq_bands + 2) * sizeof(float));
+ mel_peak = (float *)malloc((freq_bands + 2) * sizeof(float));
/* +2 for zeros at start and end */
lin_peak = (float *)malloc((freq_bands + 2) * sizeof(float));
fft_peak = (int *)malloc((freq_bands + 2) * sizeof(int));
height_norm = (float *)malloc(freq_bands * sizeof(float));
- if(mel_peak == NULL || height_norm == NULL ||
+ if(mel_peak == NULL || height_norm == NULL ||
lin_peak == NULL || fft_peak == NULL)
return XTRACT_MALLOC_FAILED;
@@ -71,20 +68,24 @@ int xtract_init_mfcc(int N, float nyquist, int style, float freq_min, float freq
fft_peak[0] = lin_peak[0] / nyquist * M;
- for (n = 1; n < freq_bands + 2; n++){
- //roll out peak locations - mel, linear and linear on fft window scale
+ for (n = 1; n < freq_bands + 2; n++)
+ {
+ //roll out peak locations - mel, linear and linear on fft window scale
mel_peak[n] = mel_peak[n - 1] + freq_bw_mel;
lin_peak[n] = 700 * (exp(mel_peak[n] / 1127) -1);
fft_peak[n] = lin_peak[n] / nyquist * M;
}
- for (n = 0; n < freq_bands; n++){
+ for (n = 0; n < freq_bands; n++)
+ {
//roll out normalised gain of each peak
- if (style == XTRACT_EQUAL_GAIN){
- height = 1;
+ if (style == XTRACT_EQUAL_GAIN)
+ {
+ height = 1;
norm_fact = norm;
}
- else{
+ else
+ {
height = 2 / (lin_peak[n + 2] - lin_peak[n]);
norm_fact = norm / (2 / (lin_peak[2] - lin_peak[0]));
}
@@ -93,21 +94,23 @@ int xtract_init_mfcc(int N, float nyquist, int style, float freq_min, float freq
i = 0;
- for(n = 0; n < freq_bands; n++){
+ for(n = 0; n < freq_bands; n++)
+ {
// calculate the rise increment
if(n==0)
inc = height_norm[n] / fft_peak[n];
else
inc = height_norm[n] / (fft_peak[n] - fft_peak[n - 1]);
- val = 0;
+ val = 0;
// zero the start of the array
for(k = 0; k < i; k++)
fft_tables[n][k] = 0.f;
// fill in the rise
- for(; i <= fft_peak[n]; i++){
+ for(; i <= fft_peak[n]; i++)
+ {
fft_tables[n][i] = val;
val += inc;
}
@@ -118,8 +121,9 @@ int xtract_init_mfcc(int N, float nyquist, int style, float freq_min, float freq
val = 0;
next_peak = fft_peak[n + 1];
- // reverse fill the 'fall'
- for(i = next_peak; i > fft_peak[n]; i--){
+ // reverse fill the 'fall'
+ for(i = next_peak; i > fft_peak[n]; i--)
+ {
fft_tables[n][i] = val;
val += inc;
}
@@ -131,7 +135,10 @@ int xtract_init_mfcc(int N, float nyquist, int style, float freq_min, float freq
/* Initialise the fft_plan for the DCT */
+ /*
+ * Ooura doesn't support non power-of-two DCT
xtract_init_fft(freq_bands, XTRACT_MFCC);
+ */
free(mel_peak);
free(lin_peak);
@@ -142,82 +149,95 @@ int xtract_init_mfcc(int N, float nyquist, int style, float freq_min, float freq
}
-int xtract_init_fft(int N, int feature_name){
+void xtract_init_ooura(xtract_ooura_data *ooura_data, unsigned int N)
+{
+ ooura_data->ooura_ip = (int *)calloc((2 + sqrt(N)), sizeof(int));
+ ooura_data->ooura_w = (double *)calloc((N - 1), sizeof(double));
+ ooura_data->initialised = true;
+}
- float *input, *output;
- int optimisation;
+void xtract_free_ooura(xtract_ooura_data *ooura_data)
+{
+ free(ooura_data->ooura_ip);
+ free(ooura_data->ooura_w);
+ ooura_data->ooura_ip = NULL;
+ ooura_data->ooura_w = NULL;
+ ooura_data->initialised = false;
+}
- input = output = NULL;
+int xtract_init_fft(int N, int feature_name)
+{
- //fprintf(stderr, "Optimisation level: %d\n", XTRACT_FFT_OPTIMISATION_LEVEL);
+ int M = N >> 1;
- if(XTRACT_FFT_OPTIMISATION_LEVEL == 0)
- optimisation = FFTW_ESTIMATE;
- else if(XTRACT_FFT_OPTIMISATION_LEVEL == 1)
- optimisation = FFTW_MEASURE;
- else if(XTRACT_FFT_OPTIMISATION_LEVEL == 2)
- optimisation = FFTW_PATIENT;
- else
- optimisation = FFTW_MEASURE; /* The default */
+ if(!xtract_is_poweroftwo(N))
+ {
+ fprintf(stderr,
+ "libxtract: error: only power-of-two FFT sizes are supported.\n");
+ exit(EXIT_FAILURE);
+ }
if(feature_name == XTRACT_AUTOCORRELATION_FFT)
- N <<= 1;
-
- input = malloc(N * sizeof(float));
- output = malloc(N * sizeof(float));
-
- switch(feature_name){
- case XTRACT_SPECTRUM:
- if(fft_plans.spectrum_plan != NULL)
- fftwf_destroy_plan(fft_plans.spectrum_plan);
- fft_plans.spectrum_plan =
- fftwf_plan_r2r_1d(N, input, output, FFTW_R2HC, optimisation);
- break;
- case XTRACT_AUTOCORRELATION_FFT:
- if(fft_plans.autocorrelation_fft_plan_1 != NULL)
- fftwf_destroy_plan(fft_plans.autocorrelation_fft_plan_1);
- if(fft_plans.autocorrelation_fft_plan_2 != NULL)
- fftwf_destroy_plan(fft_plans.autocorrelation_fft_plan_2);
- fft_plans.autocorrelation_fft_plan_1 =
- fftwf_plan_r2r_1d(N, input, output, FFTW_R2HC, optimisation);
- fft_plans.autocorrelation_fft_plan_2 =
- fftwf_plan_r2r_1d(N, input, output, FFTW_HC2R, optimisation);
- break;
- case XTRACT_DCT:
- if(fft_plans.dct_plan != NULL)
- fftwf_destroy_plan(fft_plans.dct_plan);
- fft_plans.dct_plan =
- fftwf_plan_r2r_1d(N, input, output, FFTW_REDFT10, optimisation);
- case XTRACT_MFCC:
- if(fft_plans.dct_plan != NULL)
- fftwf_destroy_plan(fft_plans.dct_plan);
- fft_plans.dct_plan =
- fftwf_plan_r2r_1d(N, output, output, FFTW_REDFT00, optimisation);
- break;
+ {
+ M = N; /* allow for zero padding */
}
- free(input);
- free(output);
+ switch(feature_name)
+ {
+ case XTRACT_SPECTRUM:
+ if(ooura_data_spectrum.initialised)
+ {
+ xtract_free_ooura(&ooura_data_spectrum);
+ }
+ xtract_init_ooura(&ooura_data_spectrum, M);
+ break;
+ case XTRACT_AUTOCORRELATION_FFT:
+ if(ooura_data_autocorrelation_fft.initialised)
+ {
+ xtract_free_ooura(&ooura_data_autocorrelation_fft);
+ }
+ xtract_init_ooura(&ooura_data_autocorrelation_fft, M);
+ break;
+ case XTRACT_DCT:
+ if(ooura_data_dct.initialised)
+ {
+ xtract_free_ooura(&ooura_data_dct);
+ }
+ xtract_init_ooura(&ooura_data_dct, M);
+ case XTRACT_MFCC:
+ if(ooura_data_mfcc.initialised)
+ {
+ xtract_free_ooura(&ooura_data_mfcc);
+ }
+ xtract_init_ooura(&ooura_data_mfcc, M);
+ break;
+ }
return XTRACT_SUCCESS;
-
}
-void xtract_free_fft(void){
- if(fft_plans.spectrum_plan != NULL)
- fftwf_destroy_plan(fft_plans.spectrum_plan);
- if(fft_plans.autocorrelation_fft_plan_1 != NULL)
- fftwf_destroy_plan(fft_plans.autocorrelation_fft_plan_1);
- if(fft_plans.autocorrelation_fft_plan_2 != NULL)
- fftwf_destroy_plan(fft_plans.autocorrelation_fft_plan_2);
- if(fft_plans.dct_plan != NULL)
- fftwf_destroy_plan(fft_plans.dct_plan);
-// fftwf_cleanup();
+void xtract_free_fft(void)
+{
+ if(ooura_data_spectrum.initialised)
+ {
+ xtract_free_ooura(&ooura_data_spectrum);
+ }
+ if(ooura_data_autocorrelation_fft.initialised)
+ {
+ xtract_free_ooura(&ooura_data_autocorrelation_fft);
+ }
+ if(ooura_data_dct.initialised)
+ {
+ xtract_free_ooura(&ooura_data_dct);
+ }
+ if(ooura_data_mfcc.initialised)
+ {
+ xtract_free_ooura(&ooura_data_mfcc);
+ }
}
-#endif
-
-int xtract_init_bark(int N, float sr, int *band_limits){
+int xtract_init_bark(int N, float sr, int *band_limits)
+{
float edges[] = {0, 100, 200, 300, 400, 510, 630, 770, 920, 1080, 1270, 1480, 1720, 2000, 2320, 2700, 3150, 3700, 4400, 5300, 6400, 7700, 9500, 12000, 15500, 20500, 27000}; /* Takes us up to sr = 54kHz (CCRMA: JOS)*/
@@ -230,65 +250,62 @@ int xtract_init_bark(int N, float sr, int *band_limits){
return XTRACT_SUCCESS;
}
-float *xtract_init_window(const int N, const int type){
-
+float *xtract_init_window(const int N, const int type)
+{
float *window;
window = malloc(N * sizeof(float));
- switch (type) {
- case XTRACT_GAUSS:
- gauss(window, N, 0.4);
- break;
- case XTRACT_HAMMING:
- hamming(window, N);
- break;
- case XTRACT_HANN:
- hann(window, N);
- break;
- case XTRACT_BARTLETT:
- bartlett(window, N);
- break;
- case XTRACT_TRIANGULAR:
- triangular(window, N);
- break;
- case XTRACT_BARTLETT_HANN:
- bartlett_hann(window, N);
- break;
- case XTRACT_BLACKMAN:
- blackman(window, N);
- break;
- case XTRACT_KAISER:
- kaiser(window, N, 3 * PI);
- break;
- case XTRACT_BLACKMAN_HARRIS:
- blackman_harris(window, N);
- break;
- default:
- hann(window, N);
- break;
+ switch (type)
+ {
+ case XTRACT_GAUSS:
+ gauss(window, N, 0.4);
+ break;
+ case XTRACT_HAMMING:
+ hamming(window, N);
+ break;
+ case XTRACT_HANN:
+ hann(window, N);
+ break;
+ case XTRACT_BARTLETT:
+ bartlett(window, N);
+ break;
+ case XTRACT_TRIANGULAR:
+ triangular(window, N);
+ break;
+ case XTRACT_BARTLETT_HANN:
+ bartlett_hann(window, N);
+ break;
+ case XTRACT_BLACKMAN:
+ blackman(window, N);
+ break;
+ case XTRACT_KAISER:
+ kaiser(window, N, 3 * PI);
+ break;
+ case XTRACT_BLACKMAN_HARRIS:
+ blackman_harris(window, N);
+ break;
+ default:
+ hann(window, N);
+ break;
}
return window;
-
}
-void xtract_free_window(float *window){
-
+void xtract_free_window(float *window)
+{
free(window);
-
}
#ifdef __GNUC__
__attribute__((constructor)) void init()
#else
- void _init()·
+void _init()·
#endif
{
-#ifdef XTRACT_FFT
- fft_plans.spectrum_plan = NULL;
- fft_plans.autocorrelation_fft_plan_1 = NULL;
- fft_plans.autocorrelation_fft_plan_2 = NULL;
- fft_plans.dct_plan = NULL;
-#endif
+ ooura_data_dct.initialised = false;
+ ooura_data_spectrum.initialised = false;
+ ooura_data_autocorrelation_fft.initialised = false;
+ ooura_data_mfcc.initialised = false;
}
diff --git a/src/libxtract.c b/src/libxtract.c
index a77c990..9e476b5 100644
--- a/src/libxtract.c
+++ b/src/libxtract.c
@@ -1,5 +1,5 @@
/* libxtract feature extraction library
- *
+ *
* Copyright (C) 2006 Jamie Bullock
*
* This program is free software; you can redistribute it and/or modify
@@ -14,7 +14,7 @@
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
* USA.
*/
@@ -22,7 +22,8 @@
#include "xtract/libxtract.h"
#define XTRACT_H
-int(*xtract[])(const float *, const int, const void *, float *) = {
+int(*xtract[])(const float *, const int, const void *, float *) =
+{
/* xtract_scalar.h */
xtract_mean,
xtract_variance,
diff --git a/src/scalar.c b/src/scalar.c
index a82dda0..4aab5a4 100644
--- a/src/scalar.c
+++ b/src/scalar.c
@@ -1,5 +1,5 @@
/* libxtract feature extraction library
- *
+ *
* Copyright (C) 2006 Jamie Bullock
*
* This program is free software; you can redistribute it and/or modify
@@ -14,7 +14,7 @@
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
* USA.
*/
@@ -33,79 +33,85 @@
#include "xtract_macros_private.h"
#ifndef powf
- #define powf pow
+#define powf pow
#endif
#ifndef expf
- #define expf exp
+#define expf exp
#endif
#ifndef sqrtf
- #define sqrtf sqrt
+#define sqrtf sqrt
#endif
#ifndef fabsf
- #define fabsf fabs
+#define fabsf fabs
#endif
-void test(void){
+void test(void)
+{
printf("Hello world\n");
#ifdef WORDS_BIGENDIAN
printf("Big endian!\n");
#endif
}
-int xtract_mean(const float *data, const int N, const void *argv, float *result){
+int xtract_mean(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
-
+
*result = 0.f;
while(n--)
- *result += data[n];
-
+ *result += data[n];
+
*result /= N;
return XTRACT_SUCCESS;
}
-int xtract_variance(const float *data, const int N, const void *argv, float *result){
+int xtract_variance(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
*result = 0.f;
while(n--)
- *result += powf(data[n] - *(float *)argv, 2);
+ *result += powf(data[n] - *(float *)argv, 2);
*result = *result / (N - 1);
return XTRACT_SUCCESS;
}
-int xtract_standard_deviation(const float *data, const int N, const void *argv, float *result){
+int xtract_standard_deviation(const float *data, const int N, const void *argv, float *result)
+{
*result = sqrtf(*(float *)argv);
return XTRACT_SUCCESS;
}
-int xtract_average_deviation(const float *data, const int N, const void *argv, float *result){
+int xtract_average_deviation(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
*result = 0.f;
while(n--)
- *result += fabsf(data[n] - *(float *)argv);
+ *result += fabsf(data[n] - *(float *)argv);
*result /= N;
return XTRACT_SUCCESS;
}
-int xtract_skewness(const float *data, const int N, const void *argv, float *result){
+int xtract_skewness(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
@@ -113,9 +119,10 @@ int xtract_skewness(const float *data, const int N, const void *argv, float *re
*result = 0.f;
- while(n--){
- temp = (data[n] - ((float *)argv)[0]) / ((float *)argv)[1];
- *result += powf(temp, 3);
+ while(n--)
+ {
+ temp = (data[n] - ((float *)argv)[0]) / ((float *)argv)[1];
+ *result += powf(temp, 3);
}
*result /= N;
@@ -124,7 +131,8 @@ int xtract_skewness(const float *data, const int N, const void *argv, float *re
return XTRACT_SUCCESS;
}
-int xtract_kurtosis(const float *data, const int N, const void *argv, float *result){
+int xtract_kurtosis(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
@@ -132,9 +140,10 @@ int xtract_kurtosis(const float *data, const int N, const void *argv, float *re
*result = 0.f;
- while(n--){
- temp = (data[n] - ((float *)argv)[0]) / ((float *)argv)[1];
- *result += powf(temp, 4);
+ while(n--)
+ {
+ temp = (data[n] - ((float *)argv)[0]) / ((float *)argv)[1];
+ *result += powf(temp, 4);
}
*result /= N;
@@ -143,7 +152,8 @@ int xtract_kurtosis(const float *data, const int N, const void *argv, float *re
return XTRACT_SUCCESS;
}
-int xtract_spectral_centroid(const float *data, const int N, const void *argv, float *result){
+int xtract_spectral_centroid(const float *data, const int N, const void *argv, float *result)
+{
int n = (N >> 1);
@@ -153,9 +163,10 @@ int xtract_spectral_centroid(const float *data, const int N, const void *argv,
amps = data;
freqs = data + n;
- while(n--){
- FA += freqs[n] * amps[n];
- A += amps[n];
+ while(n--)
+ {
+ FA += freqs[n] * amps[n];
+ A += amps[n];
}
if(A == 0.f)
@@ -166,13 +177,15 @@ int xtract_spectral_centroid(const float *data, const int N, const void *argv,
return XTRACT_SUCCESS;
}
-int xtract_spectral_mean(const float *data, const int N, const void *argv, float *result){
+int xtract_spectral_mean(const float *data, const int N, const void *argv, float *result)
+{
return xtract_spectral_centroid(data, N, argv, result);
}
-int xtract_spectral_variance(const float *data, const int N, const void *argv, float *result){
+int xtract_spectral_variance(const float *data, const int N, const void *argv, float *result)
+{
int m;
float A = 0.f;
@@ -185,7 +198,8 @@ int xtract_spectral_variance(const float *data, const int N, const void *argv, f
*result = 0.f;
- while(m--){
+ while(m--)
+ {
A += amps[m];
*result += powf(freqs[m] - ((float *)argv)[0], 2) * amps[m];
}
@@ -195,9 +209,10 @@ int xtract_spectral_variance(const float *data, const int N, const void *argv, f
return XTRACT_SUCCESS;
}
-int xtract_spectral_standard_deviation(const float *data, const int N, const void *argv, float *result){
+int xtract_spectral_standard_deviation(const float *data, const int N, const void *argv, float *result)
+{
- *result = sqrtf(*(float *)argv);
+ *result = sqrtf(*(float *)argv);
return XTRACT_SUCCESS;
}
@@ -225,7 +240,8 @@ int xtract_spectral_standard_deviation(const float *data, const int N, const voi
return XTRACT_SUCCESS;
}*/
-int xtract_spectral_skewness(const float *data, const int N, const void *argv, float *result){
+int xtract_spectral_skewness(const float *data, const int N, const void *argv, float *result)
+{
int m;
const float *freqs, *amps;
@@ -245,7 +261,8 @@ int xtract_spectral_skewness(const float *data, const int N, const void *argv,
return XTRACT_SUCCESS;
}
-int xtract_spectral_kurtosis(const float *data, const int N, const void *argv, float *result){
+int xtract_spectral_kurtosis(const float *data, const int N, const void *argv, float *result)
+{
int m;
const float *freqs, *amps;
@@ -266,28 +283,31 @@ int xtract_spectral_kurtosis(const float *data, const int N, const void *argv,
return XTRACT_SUCCESS;
}
-int xtract_irregularity_k(const float *data, const int N, const void *argv, float *result){
+int xtract_irregularity_k(const float *data, const int N, const void *argv, float *result)
+{
int n,
- M = N - 1;
-
+ M = N - 1;
+
*result = 0.f;
-
+
for(n = 1; n < M; n++)
- *result += fabsf(data[n] - (data[n-1] + data[n] + data[n+1]) / 3.f);
+ *result += fabsf(data[n] - (data[n-1] + data[n] + data[n+1]) / 3.f);
return XTRACT_SUCCESS;
}
-int xtract_irregularity_j(const float *data, const int N, const void *argv, float *result){
+int xtract_irregularity_j(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
double num = 0.f, den = 0.f;
- while(n--){
- num += powf(data[n] - data[n+1], 2);
- den += powf(data[n], 2);
+ while(n--)
+ {
+ num += powf(data[n] - data[n+1], 2);
+ den += powf(data[n], 2);
}
*result = (float)(num / den);
@@ -295,7 +315,8 @@ int xtract_irregularity_j(const float *data, const int N, const void *argv, floa
return XTRACT_SUCCESS;
}
-int xtract_tristimulus_1(const float *data, const int N, const void *argv, float *result){
+int xtract_tristimulus_1(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
@@ -303,25 +324,30 @@ int xtract_tristimulus_1(const float *data, const int N, const void *argv, float
den = p1 = temp = 0.f;
- for(n = 0; n < N; n++){
- if((temp = data[n])){
- den += temp;
- if(!p1)
- p1 = temp;
- }
+ for(n = 0; n < N; n++)
+ {
+ if((temp = data[n]))
+ {
+ den += temp;
+ if(!p1)
+ p1 = temp;
+ }
}
- if(den == 0.f || p1 == 0.f){
+ if(den == 0.f || p1 == 0.f)
+ {
*result = 0.f;
return XTRACT_NO_RESULT;
}
- else{
+ else
+ {
*result = p1 / den;
return XTRACT_SUCCESS;
}
}
-int xtract_tristimulus_2(const float *data, const int N, const void *argv, float *result){
+int xtract_tristimulus_2(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
@@ -329,32 +355,37 @@ int xtract_tristimulus_2(const float *data, const int N, const void *argv, float
den = p2 = p3 = p4 = ps = temp = 0.f;
- for(n = 0; n < N; n++){
- if((temp = data[n])){
- den += temp;
- if(!p2)
- p2 = temp;
- else if(!p3)
- p3 = temp;
- else if(!p4)
- p4 = temp;
- }
+ for(n = 0; n < N; n++)
+ {
+ if((temp = data[n]))
+ {
+ den += temp;
+ if(!p2)
+ p2 = temp;
+ else if(!p3)
+ p3 = temp;
+ else if(!p4)
+ p4 = temp;
+ }
}
ps = p2 + p3 + p4;
- if(den == 0.f || ps == 0.f){
+ if(den == 0.f || ps == 0.f)
+ {
*result = 0.f;
return XTRACT_NO_RESULT;
}
- else{
+ else
+ {
*result = ps / den;
return XTRACT_SUCCESS;
}
}
-int xtract_tristimulus_3(const float *data, const int N, const void *argv, float *result){
+int xtract_tristimulus_3(const float *data, const int N, const void *argv, float *result)
+{
int n = N, count = 0;
@@ -362,26 +393,31 @@ int xtract_tristimulus_3(const float *data, const int N, const void *argv, float
den = num = temp = 0.f;
- for(n = 0; n < N; n++){
- if((temp = data[n])){
- den += temp;
- if(count >= 5)
- num += temp;
- count++;
- }
+ for(n = 0; n < N; n++)
+ {
+ if((temp = data[n]))
+ {
+ den += temp;
+ if(count >= 5)
+ num += temp;
+ count++;
+ }
}
- if(den == 0.f || num == 0.f){
+ if(den == 0.f || num == 0.f)
+ {
*result = 0.f;
return XTRACT_NO_RESULT;
}
- else{
+ else
+ {
*result = num / den;
return XTRACT_SUCCESS;
}
}
-int xtract_smoothness(const float *data, const int N, const void *argv, float *result){
+int xtract_smoothness(const float *data, const int N, const void *argv, float *result)
+{
int n, M;
@@ -390,18 +426,19 @@ int xtract_smoothness(const float *data, const int N, const void *argv, float *r
input = (float *)malloc(N * sizeof(float));
memcpy(input, data, N * sizeof(float));
- if (input[0] <= 0)
+ if (input[0] <= 0)
input[0] = XTRACT_LOG_LIMIT;
- if (input[1] <= 0)
+ if (input[1] <= 0)
input[1] = XTRACT_LOG_LIMIT;
M = N - 1;
- for(n = 1; n < M; n++){
- if(input[n+1] <= 0)
+ for(n = 1; n < M; n++)
+ {
+ if(input[n+1] <= 0)
input[n+1] = XTRACT_LOG_LIMIT;
- *result += fabsf(20.f * logf(input[n]) - (20.f * logf(input[n-1]) +
- 20.f * logf(input[n]) + 20.f * logf(input[n+1])) / 3.f);
+ *result += fabsf(20.f * logf(input[n]) - (20.f * logf(input[n-1]) +
+ 20.f * logf(input[n]) + 20.f * logf(input[n+1])) / 3.f);
}
free(input);
@@ -409,24 +446,27 @@ int xtract_smoothness(const float *data, const int N, const void *argv, float *r
return XTRACT_SUCCESS;
}
-int xtract_spread(const float *data, const int N, const void *argv, float *result){
+int xtract_spread(const float *data, const int N, const void *argv, float *result)
+{
- return xtract_spectral_variance(data, N, argv, result);
+ return xtract_spectral_variance(data, N, argv, result);
}
-int xtract_zcr(const float *data, const int N, const void *argv, float *result){
+int xtract_zcr(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
for(n = 1; n < N; n++)
- if(data[n] * data[n-1] < 0) (*result)++;
+ if(data[n] * data[n-1] < 0) (*result)++;
*result /= (float)N;
return XTRACT_SUCCESS;
}
-int xtract_rolloff(const float *data, const int N, const void *argv, float *result){
+int xtract_rolloff(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
float pivot, temp, percentile;
@@ -434,12 +474,12 @@ int xtract_rolloff(const float *data, const int N, const void *argv, float *resu
pivot = temp = 0.f;
percentile = ((float *)argv)[1];
- while(n--) pivot += data[n];
+ while(n--) pivot += data[n];
pivot *= percentile / 100.f;
for(n = 0; temp < pivot; n++)
- temp += data[n];
+ temp += data[n];
*result = n * ((float *)argv)[0];
/* *result = (n / (float)N) * (((float *)argv)[1] * .5); */
@@ -447,30 +487,33 @@ int xtract_rolloff(const float *data, const int N, const void *argv, float *resu
return XTRACT_SUCCESS;
}
-int xtract_loudness(const float *data, const int N, const void *argv, float *result){
+int xtract_loudness(const float *data, const int N, const void *argv, float *result)
+{
int n = N, rv;
*result = 0.f;
- if(n > XTRACT_BARK_BANDS){
- n = XTRACT_BARK_BANDS;
- rv = XTRACT_BAD_VECTOR_SIZE;
+ if(n > XTRACT_BARK_BANDS)
+ {
+ n = XTRACT_BARK_BANDS;
+ rv = XTRACT_BAD_VECTOR_SIZE;
}
else
- rv = XTRACT_SUCCESS;
+ rv = XTRACT_SUCCESS;
while(n--)
- *result += powf(data[n], 0.23);
+ *result += powf(data[n], 0.23);
return rv;
}
-int xtract_flatness(const float *data, const int N, const void *argv, float *result){
+int xtract_flatness(const float *data, const int N, const void *argv, float *result)
+{
int n, count, denormal_found;
- double num, den, temp;
+ double num, den, temp;
num = 1.f;
den = temp = 0.f;
@@ -478,9 +521,12 @@ int xtract_flatness(const float *data, const int N, const void *argv, float *res
denormal_found = 0;
count = 0;
- for(n = 0; n < N; n++){
- if((temp = data[n]) != 0.f) {
- if (xtract_is_denormal(num)){
+ for(n = 0; n < N; n++)
+ {
+ if((temp = data[n]) != 0.f)
+ {
+ if (xtract_is_denormal(num))
+ {
denormal_found = 1;
break;
}
@@ -490,7 +536,8 @@ int xtract_flatness(const float *data, const int N, const void *argv, float *res
}
}
- if(!count){
+ if(!count)
+ {
*result = 0.f;
return XTRACT_NO_RESULT;
}
@@ -505,16 +552,17 @@ int xtract_flatness(const float *data, const int N, const void *argv, float *res
return XTRACT_DENORMAL_FOUND;
else
return XTRACT_SUCCESS;
-
+
}
-int xtract_flatness_db(const float *data, const int N, const void *argv, float *result){
+int xtract_flatness_db(const float *data, const int N, const void *argv, float *result)
+{
float flatness;
flatness = *(float *)argv;
- if (flatness <= 0)
+ if (flatness <= 0)
flatness = XTRACT_LOG_LIMIT;
*result = 10 * log10f(flatness);
@@ -523,7 +571,8 @@ int xtract_flatness_db(const float *data, const int N, const void *argv, float *
}
-int xtract_tonality(const float *data, const int N, const void *argv, float *result){
+int xtract_tonality(const float *data, const int N, const void *argv, float *result)
+{
float sfmdb;
@@ -534,9 +583,10 @@ int xtract_tonality(const float *data, const int N, const void *argv, float *res
return XTRACT_SUCCESS;
}
-int xtract_crest(const float *data, const int N, const void *argv, float *result){
+int xtract_crest(const float *data, const int N, const void *argv, float *result)
+{
- float max, mean;
+ float max, mean;
max = mean = 0.f;
@@ -549,7 +599,8 @@ int xtract_crest(const float *data, const int N, const void *argv, float *result
}
-int xtract_noisiness(const float *data, const int N, const void *argv, float *result){
+int xtract_noisiness(const float *data, const int N, const void *argv, float *result)
+{
float h, i, p; /*harmonics, inharmonics, partials */
@@ -566,7 +617,8 @@ int xtract_noisiness(const float *data, const int N, const void *argv, float *re
}
-int xtract_rms_amplitude(const float *data, const int N, const void *argv, float *result){
+int xtract_rms_amplitude(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
@@ -579,81 +631,94 @@ int xtract_rms_amplitude(const float *data, const int N, const void *argv, float
return XTRACT_SUCCESS;
}
-int xtract_spectral_inharmonicity(const float *data, const int N, const void *argv, float *result){
+int xtract_spectral_inharmonicity(const float *data, const int N, const void *argv, float *result)
+{
int n = N >> 1;
- float num = 0.f, den = 0.f, fund;
+ float num = 0.f, den = 0.f, fund;
const float *freqs, *amps;
fund = *(float *)argv;
amps = data;
freqs = data + n;
- while(n--){
- if(amps[n]){
- num += fabsf(freqs[n] - n * fund) * XTRACT_SQ(amps[n]);
- den += XTRACT_SQ(amps[n]);
- }
+ while(n--)
+ {
+ if(amps[n])
+ {
+ num += fabsf(freqs[n] - n * fund) * XTRACT_SQ(amps[n]);
+ den += XTRACT_SQ(amps[n]);
+ }
}
- *result = (2 * num) / (fund * den);
+ *result = (2 * num) / (fund * den);
return XTRACT_SUCCESS;
}
-int xtract_power(const float *data, const int N, const void *argv, float *result){
+int xtract_power(const float *data, const int N, const void *argv, float *result)
+{
return XTRACT_FEATURE_NOT_IMPLEMENTED;
}
-int xtract_odd_even_ratio(const float *data, const int N, const void *argv, float *result){
+int xtract_odd_even_ratio(const float *data, const int N, const void *argv, float *result)
+{
int M = (N >> 1), n;
float odd = 0.f, even = 0.f, temp;
- for(n = 0; n < M; n++){
- if((temp = data[n])){
- if(XTRACT_IS_ODD(n)){
- odd += temp;
- }
- else{
- even += temp;
- }
- }
+ for(n = 0; n < M; n++)
+ {
+ if((temp = data[n]))
+ {
+ if(XTRACT_IS_ODD(n))
+ {
+ odd += temp;
+ }
+ else
+ {
+ even += temp;
+ }
+ }
}
- if(odd == 0.f || even == 0.f){
+ if(odd == 0.f || even == 0.f)
+ {
*result = 0.f;
return XTRACT_NO_RESULT;
}
- else {
+ else
+ {
*result = odd / even;
return XTRACT_SUCCESS;
}
}
-int xtract_sharpness(const float *data, const int N, const void *argv, float *result){
+int xtract_sharpness(const float *data, const int N, const void *argv, float *result)
+{
int n = N, rv;
float sl, g; /* sl = specific loudness */
- double temp;
+ double temp;
sl = g = 0.f;
temp = 0.f;
- if(n > XTRACT_BARK_BANDS)
- rv = XTRACT_BAD_VECTOR_SIZE;
+ if(n > XTRACT_BARK_BANDS)
+ rv = XTRACT_BAD_VECTOR_SIZE;
else
- rv = XTRACT_SUCCESS;
+ rv = XTRACT_SUCCESS;
- while(n--){
- sl = powf(data[n], 0.23);
- g = (n < 15 ? 1.f : 0.066 * expf(0.171 * n));
- temp += n * g * sl;
+ while(n--)
+ {
+ sl = powf(data[n], 0.23);
+ g = (n < 15 ? 1.f : 0.066 * expf(0.171 * n));
+ temp += n * g * sl;
}
temp = 0.11 * temp / (float)N;
@@ -663,97 +728,105 @@ int xtract_sharpness(const float *data, const int N, const void *argv, float *re
}
-int xtract_spectral_slope(const float *data, const int N, const void *argv, float *result){
+int xtract_spectral_slope(const float *data, const int N, const void *argv, float *result)
+{
- const float *freqs, *amps;
+ const float *freqs, *amps;
float f, a,
- F, A, FA, FXTRACT_SQ; /* sums of freqs, amps, freq * amps, freq squared */
- int n, M;
-
+ F, A, FA, FXTRACT_SQ; /* sums of freqs, amps, freq * amps, freq squared */
+ int n, M;
+
F = A = FA = FXTRACT_SQ = 0.f;
n = M = N >> 1;
amps = data;
freqs = data + n;
- while(n--){
- f = freqs[n];
- a = amps[n];
- F += f;
- A += a;
- FA += f * a;
- FXTRACT_SQ += f * f;
+ while(n--)
+ {
+ f = freqs[n];
+ a = amps[n];
+ F += f;
+ A += a;
+ FA += f * a;
+ FXTRACT_SQ += f * f;
}
- *result = (1.f / A) * (M * FA - F * A) / (M * FXTRACT_SQ - F * F);
+ *result = (1.f / A) * (M * FA - F * A) / (M * FXTRACT_SQ - F * F);
return XTRACT_SUCCESS;
}
-int xtract_lowest_value(const float *data, const int N, const void *argv, float *result){
+int xtract_lowest_value(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
float temp;
*result = data[--n];
- while(n--){
- if((temp = data[n]) > *(float *)argv)
- *result = XTRACT_MIN(*result, data[n]);
+ while(n--)
+ {
+ if((temp = data[n]) > *(float *)argv)
+ *result = XTRACT_MIN(*result, data[n]);
}
return XTRACT_SUCCESS;
}
-int xtract_highest_value(const float *data, const int N, const void *argv, float *result){
+int xtract_highest_value(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
*result = data[--n];
- while(n--)
- *result = XTRACT_MAX(*result, data[n]);
+ while(n--)
+ *result = XTRACT_MAX(*result, data[n]);
return XTRACT_SUCCESS;
}
-int xtract_sum(const float *data, const int N, const void *argv, float *result){
+int xtract_sum(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
*result = 0.f;
while(n--)
- *result += *data++;
+ *result += *data++;
return XTRACT_SUCCESS;
}
-int xtract_nonzero_count(const float *data, const int N, const void *argv, float *result){
+int xtract_nonzero_count(const float *data, const int N, const void *argv, float *result)
+{
int n = N;
-
+
*result = 0.f;
while(n--)
- *result += (*data++ ? 1 : 0);
+ *result += (*data++ ? 1 : 0);
return XTRACT_SUCCESS;
}
-int xtract_hps(const float *data, const int N, const void *argv, float *result){
+int xtract_hps(const float *data, const int N, const void *argv, float *result)
+{
int n = N, M, m, l, peak_index, position1_lwr;
- float *coeffs2, *coeffs3, *product, L,
- largest1_lwr, peak, ratio1, sr;
+ float *coeffs2, *coeffs3, *product, L,
+ largest1_lwr, peak, ratio1, sr;
sr = *(float*)argv;
if(sr == 0)
- sr = 44100.f;
+ sr = 44100.f;
coeffs2 = (float *)malloc(N * sizeof(float));
coeffs3 = (float *)malloc(N * sizeof(float));
@@ -764,42 +837,48 @@ int xtract_hps(const float *data, const int N, const void *argv, float *result){
M = N >> 1;
L = N / 3.f;
- while(M--){
- m = M << 1;
- coeffs2[M] = (data[m] + data[m+1]) * 0.5f;
+ while(M--)
+ {
+ m = M << 1;
+ coeffs2[M] = (data[m] + data[m+1]) * 0.5f;
- if(M < L){
- l = M * 3;
- coeffs3[M] = (data[l] + data[l+1] + data[l+2]) / 3.f;
- }
+ if(M < L)
+ {
+ l = M * 3;
+ coeffs3[M] = (data[l] + data[l+1] + data[l+2]) / 3.f;
+ }
}
peak_index = peak = 0;
- for(n = 1; n < N; n++){
- product[n] = data[n] * coeffs2[n] * coeffs3[n];
- if(product[n] > peak){
- peak_index = n;
- peak = product[n];
- }
+ for(n = 1; n < N; n++)
+ {
+ product[n] = data[n] * coeffs2[n] * coeffs3[n];
+ if(product[n] > peak)
+ {
+ peak_index = n;
+ peak = product[n];
+ }
}
largest1_lwr = position1_lwr = 0;
- for(n = 0; n < N; n++){
- if(data[n] > largest1_lwr && n != peak_index){
- largest1_lwr = data[n];
- position1_lwr = n;
- }
+ for(n = 0; n < N; n++)
+ {
+ if(data[n] > largest1_lwr && n != peak_index)
+ {
+ largest1_lwr = data[n];
+ position1_lwr = n;
+ }
}
ratio1 = data[position1_lwr] / data[peak_index];
- if(position1_lwr > peak_index * 0.4 && position1_lwr <
- peak_index * 0.6 && ratio1 > 0.1)
- peak_index = position1_lwr;
+ if(position1_lwr > peak_index * 0.4 && position1_lwr <
+ peak_index * 0.6 && ratio1 > 0.1)
+ peak_index = position1_lwr;
- *result = sr / (float)peak_index;
+ *result = sr / (float)peak_index;
free(coeffs2);
free(coeffs3);
@@ -809,24 +888,25 @@ int xtract_hps(const float *data, const int N, const void *argv, float *result){
}
-int xtract_f0(const float *data, const int N, const void *argv, float *result){
+int xtract_f0(const float *data, const int N, const void *argv, float *result)
+{
int M, tau, n;
float sr;
size_t bytes;
- float f0, err_tau_1, err_tau_x, array_max,
- threshold_peak, threshold_centre,
- *input;
+ float f0, err_tau_1, err_tau_x, array_max,
+ threshold_peak, threshold_centre,
+ *input;
sr = *(float *)argv;
if(sr == 0)
- sr = 44100.f;
+ sr = 44100.f;
input = (float *)malloc(bytes = N * sizeof(float));
input = memcpy(input, data, bytes);
/* threshold_peak = *((float *)argv+1);
- threshold_centre = *((float *)argv+2);
- printf("peak: %.2f\tcentre: %.2f\n", threshold_peak, threshold_centre);*/
+ threshold_centre = *((float *)argv+2);
+ printf("peak: %.2f\tcentre: %.2f\n", threshold_peak, threshold_centre);*/
/* add temporary dynamic control over thresholds to test clipping effects */
/* FIX: tweak and make into macros */
@@ -837,75 +917,83 @@ int xtract_f0(const float *data, const int N, const void *argv, float *result){
array_max = 0;
/* Find the array max */
- for(n = 0; n < N; n++){
- if (input[n] > array_max)
- array_max = input[n];
+ for(n = 0; n < N; n++)
+ {
+ if (input[n] > array_max)
+ array_max = input[n];
}
threshold_peak *= array_max;
/* peak clip */
- for(n = 0; n < N; n++){
- if(input[n] > threshold_peak)
- input[n] = threshold_peak;
- else if(input[n] < -threshold_peak)
- input[n] = -threshold_peak;
+ for(n = 0; n < N; n++)
+ {
+ if(input[n] > threshold_peak)
+ input[n] = threshold_peak;
+ else if(input[n] < -threshold_peak)
+ input[n] = -threshold_peak;
}
threshold_centre *= array_max;
/* Centre clip */
- for(n = 0; n < N; n++){
- if (input[n] < threshold_centre)
- input[n] = 0;
- else
- input[n] -= threshold_centre;
+ for(n = 0; n < N; n++)
+ {
+ if (input[n] < threshold_centre)
+ input[n] = 0;
+ else
+ input[n] -= threshold_centre;
}
/* Estimate fundamental freq */
for (n = 1; n < M; n++)
- err_tau_1 = err_tau_1 + fabsf(input[n] - input[n+1]);
- /* FIX: this doesn't pose too much load if it returns 'early', but if it can't find f0, load can be significant for larger block sizes M^2 iterations! */
- for (tau = 2; tau < M; tau++){
- err_tau_x = 0;
- for (n = 1; n < M; n++){
- err_tau_x = err_tau_x + fabsf(input[n] - input[n+tau]);
- }
- if (err_tau_x < err_tau_1) {
- f0 = sr / (tau + (err_tau_x / err_tau_1));
- *result = f0;
- free(input);
- return XTRACT_SUCCESS;
- }
+ err_tau_1 = err_tau_1 + fabsf(input[n] - input[n+1]);
+ /* FIX: this doesn't pose too much load if it returns 'early', but if it can't find f0, load can be significant for larger block sizes M^2 iterations! */
+ for (tau = 2; tau < M; tau++)
+ {
+ err_tau_x = 0;
+ for (n = 1; n < M; n++)
+ {
+ err_tau_x = err_tau_x + fabsf(input[n] - input[n+tau]);
+ }
+ if (err_tau_x < err_tau_1)
+ {
+ f0 = sr / (tau + (err_tau_x / err_tau_1));
+ *result = f0;
+ free(input);
+ return XTRACT_SUCCESS;
+ }
}
*result = -0;
free(input);
return XTRACT_NO_RESULT;
}
-int xtract_failsafe_f0(const float *data, const int N, const void *argv, float *result){
+int xtract_failsafe_f0(const float *data, const int N, const void *argv, float *result)
+{
float *spectrum = NULL, argf[2], *peaks = NULL, return_code, sr;
return_code = xtract_f0(data, N, argv, result);
- if(return_code == XTRACT_NO_RESULT){
-
- sr = *(float *)argv;
- if(sr == 0)
- sr = 44100.f;
- spectrum = (float *)malloc(N * sizeof(float));
- peaks = (float *)malloc(N * sizeof(float));
- argf[0] = sr;
- argf[1] = XTRACT_MAGNITUDE_SPECTRUM;
- xtract_spectrum(data, N, argf, spectrum);
- argf[1] = 10.f;
- xtract_peak_spectrum(spectrum, N >> 1, argf, peaks);
- argf[0] = 0.f;
- xtract_lowest_value(peaks+(N >> 1), N >> 1, argf, result);
-
- free(spectrum);
- free(peaks);
+ if(return_code == XTRACT_NO_RESULT)
+ {
+
+ sr = *(float *)argv;
+ if(sr == 0)
+ sr = 44100.f;
+ spectrum = (float *)malloc(N * sizeof(float));
+ peaks = (float *)malloc(N * sizeof(float));
+ argf[0] = sr;
+ argf[1] = XTRACT_MAGNITUDE_SPECTRUM;
+ xtract_spectrum(data, N, argf, spectrum);
+ argf[1] = 10.f;
+ xtract_peak_spectrum(spectrum, N >> 1, argf, peaks);
+ argf[0] = 0.f;
+ xtract_lowest_value(peaks+(N >> 1), N >> 1, argf, result);
+
+ free(spectrum);
+ free(peaks);
}
return XTRACT_SUCCESS;
diff --git a/src/vector.c b/src/vector.c
index 9c29762..73e437f 100644
--- a/src/vector.c
+++ b/src/vector.c
@@ -1,5 +1,5 @@
/* libxtract feature extraction library
- *
+ *
* Copyright (C) 2006 Jamie Bullock
*
* This program is free software; you can redistribute it and/or modify
@@ -14,7 +14,7 @@
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
* USA.
*/
@@ -25,16 +25,19 @@
#include <string.h>
#include <stdlib.h>
+#include "fftsg.h"
+
#include "xtract/libxtract.h"
#include "xtract_macros_private.h"
#ifndef roundf
- float roundf(float f){
- if (f - (int)f >= 0.5)
- return (float)((int)f + 1);
- else
- return (float)((int)f);
- }
+float roundf(float f)
+{
+ if (f - (int)f >= 0.5)
+ return (float)((int)f + 1);
+ else
+ return (float)((int)f);
+}
#endif
#ifndef powf
@@ -53,185 +56,208 @@
#define fabsf fabs
#endif
-#ifdef XTRACT_FFT
-
-#include <fftw3.h>
#include "xtract_globals_private.h"
#include "xtract_macros_private.h"
-int xtract_spectrum(const float *data, const int N, const void *argv, float *result){
-
- float *input, *rfft, q, temp, max, NxN;
- size_t bytes;
- int n,
- m,
- M,
- vector,
- withDC,
- argc,
- normalise;
-
- vector = argc = withDC = normalise = 0;
-
- M = N >> 1;
- NxN = XTRACT_SQ(N);
-
- rfft = (float *)fftwf_malloc(N * sizeof(float));
- input = (float *)malloc(bytes = N * sizeof(float));
- input = memcpy(input, data, bytes);
+int xtract_spectrum(const float *data, const int N, const void *argv, float *result)
+{
+
+ int vector = 0;
+ int withDC = 0;
+ int normalise = 0;
+ float q = 0.f;
+ float temp = 0.f;
+ float max = 0.f;
+ float NxN = XTRACT_SQ(N);
+ float *marker = NULL;
+ size_t bytes = N * sizeof(double);
+ double *rfft = NULL;
+ unsigned int n = 0;
+ unsigned int m = 0;
+ unsigned int nx2 = 0;
+ unsigned int M = N >> 1;
+
+ rfft = (double *)malloc(bytes);
+ //memcpy(rfft, data, bytes);
+
+ for(n = 0; n < N; ++n){
+ rfft[n] = (double)data[n];
+ }
q = *(float *)argv;
vector = (int)*((float *)argv+1);
withDC = (int)*((float *)argv+2);
normalise = (int)*((float *)argv+3);
- temp = 0.f;
- max = 0.f;
-
XTRACT_CHECK_q;
- if(fft_plans.spectrum_plan == NULL){
- fprintf(stderr,
- "libxtract: Error: xtract_spectrum() has uninitialised plan\n");
+ if(!ooura_data_spectrum.initialised)
+ {
+ fprintf(stderr,
+ "libxtract: error: xtract_spectrum() failed, "
+ "fft data unitialised.\n");
return XTRACT_NO_RESULT;
}
- fftwf_execute_r2r(fft_plans.spectrum_plan, input, rfft);
+ /* ooura is in-place
+ * the output format seems to be
+ * a[0] - DC, a[1] - nyquist, a[2...N-1] - remaining bins
+ */
+ rdft(N, 1, rfft, ooura_data_spectrum.ooura_ip,
+ ooura_data_spectrum.ooura_w);
- switch(vector){
+ switch(vector)
+ {
case XTRACT_LOG_MAGNITUDE_SPECTRUM:
- for(n = 0, m = 0; m < M; ++n, ++m){
- if(!withDC && n == 0){
- ++n;
- }
- if ((temp = XTRACT_SQ(rfft[n]) +
- XTRACT_SQ(rfft[N - n])) > XTRACT_LOG_LIMIT)
- temp = logf(sqrtf(temp) / (float)N);
- else
- temp = XTRACT_LOG_LIMIT_DB;
-
- result[m] =
- /* Scaling */
- (temp + XTRACT_DB_SCALE_OFFSET) /
- XTRACT_DB_SCALE_OFFSET;
-
- XTRACT_SET_FREQUENCY;
- XTRACT_GET_MAX;
+ for(n = 0, m = 0; m < M; ++n, ++m)
+ {
+ if(!withDC && n == 0)
+ {
+ continue;
}
- break;
-
- case XTRACT_POWER_SPECTRUM:
- for(n = 0, m = 0; m < M; ++n, ++m){
- if(!withDC && n == 0){
- ++n;
- }
- result[m] = (XTRACT_SQ(rfft[n]) + XTRACT_SQ(rfft[N - n])) / NxN;
- XTRACT_SET_FREQUENCY;
- XTRACT_GET_MAX;
+ nx2 = n * 2;
+ temp = XTRACT_SQ(rfft[nx2]) + XTRACT_SQ(rfft[nx2+1]);
+ if (temp > XTRACT_LOG_LIMIT)
+ {
+ temp = logf(sqrtf(temp) / (float)N);
}
- break;
-
- case XTRACT_LOG_POWER_SPECTRUM:
- for(n = 0, m = 0; m < M; ++n, ++m){
- if(!withDC && n == 0){
- ++n;
- }
- if ((temp = XTRACT_SQ(rfft[n]) + XTRACT_SQ(rfft[N - n])) >
- XTRACT_LOG_LIMIT)
- temp = logf(temp / NxN);
- else
- temp = XTRACT_LOG_LIMIT_DB;
-
- result[m] = (temp + XTRACT_DB_SCALE_OFFSET) /
- XTRACT_DB_SCALE_OFFSET;
- XTRACT_SET_FREQUENCY;
- XTRACT_GET_MAX;
+ else
+ {
+ temp = XTRACT_LOG_LIMIT_DB;
}
- break;
+ result[m] =
+ /* Scaling */
+ (temp + XTRACT_DB_SCALE_OFFSET) /
+ XTRACT_DB_SCALE_OFFSET;
- default:
- /* MAGNITUDE_SPECTRUM */
- for(n = 0, m = 0; m < M; ++n, ++m){
- if(!withDC && n == 0){
- ++n;
- }
- result[m] = sqrtf(XTRACT_SQ(rfft[n]) +
- XTRACT_SQ(rfft[N - n])) / (float)N;
- XTRACT_SET_FREQUENCY;
- XTRACT_GET_MAX;
+ XTRACT_SET_FREQUENCY;
+ XTRACT_GET_MAX;
+ }
+ break;
+
+ case XTRACT_POWER_SPECTRUM:
+ for(n = 0, m = 0; m < M; ++n, ++m)
+ {
+ if(!withDC && n == 0)
+ {
+ ++n;
}
- break;
+ result[m] = (XTRACT_SQ(rfft[n]) + XTRACT_SQ(rfft[N - n])) / NxN;
+ XTRACT_SET_FREQUENCY;
+ XTRACT_GET_MAX;
+ }
+ break;
+
+ case XTRACT_LOG_POWER_SPECTRUM:
+ for(n = 0, m = 0; m < M; ++n, ++m)
+ {
+ if(!withDC && n == 0)
+ {
+ ++n;
+ }
+ if ((temp = XTRACT_SQ(rfft[n]) + XTRACT_SQ(rfft[N - n])) >
+ XTRACT_LOG_LIMIT)
+ temp = logf(temp / NxN);
+ else
+ temp = XTRACT_LOG_LIMIT_DB;
+
+ result[m] = (temp + XTRACT_DB_SCALE_OFFSET) /
+ XTRACT_DB_SCALE_OFFSET;
+ XTRACT_SET_FREQUENCY;
+ XTRACT_GET_MAX;
+ }
+ break;
+
+ default:
+ /* MAGNITUDE_SPECTRUM */
+ for(n = 0, m = 0; m < M; ++n, ++m)
+ {
+ marker = &result[m];
+
+ if(n==0 && !withDC) /* discard DC and keep Nyquist */
+ {
+ ++n;
+ marker = &result[M-1];
+ }
+ if(n==1 && withDC) /* discard Nyquist */
+ {
+ ++n;
+ }
+
+ *marker = (float)(sqrt(XTRACT_SQ(rfft[n*2]) +
+ XTRACT_SQ(rfft[n*2+1])) / (double)N);
+ XTRACT_SET_FREQUENCY;
+ XTRACT_GET_MAX;
+
+ }
+ break;
}
- if(normalise){
+ if(normalise)
+ {
for(n = 0; n < M; n++)
result[n] /= max;
}
- fftwf_free(rfft);
- free(input);
+ free(rfft);
return XTRACT_SUCCESS;
}
-int xtract_autocorrelation_fft(const float *data, const int N, const void *argv, float *result){
+int xtract_autocorrelation_fft(const float *data, const int N, const void *argv, float *result)
+{
- float *freq, *time;
- int n, M;
- //fftwf_plan plan;
+ double *rfft = NULL;
+ int n = 0;
+ int M = 0;
M = N << 1;
- freq = (float *)fftwf_malloc(M * sizeof(float));
/* Zero pad the input vector */
- time = (float *)calloc(M, sizeof(float));
- time = memcpy(time, data, N * sizeof(float));
-
- fftwf_execute_r2r(fft_plans.autocorrelation_fft_plan_1, time, freq);
- //plan = fftwf_plan_r2r_1d(M, time, freq, FFTW_R2HC, FFTW_ESTIMATE);
+ rfft = (double *)calloc(M, sizeof(double));
+ memcpy(rfft, data, N * sizeof(float));
- //fftwf_execute(plan);
+ rdft(M, 1, rfft, ooura_data_autocorrelation_fft.ooura_ip,
+ ooura_data_autocorrelation_fft.ooura_w);
- for(n = 1; n < N; n++){
- freq[n] = XTRACT_SQ(freq[n]) + XTRACT_SQ(freq[M - n]);
- freq[M - n] = 0.f;
+ for(n = 2; n < M; n++)
+ {
+ rfft[n*2] = XTRACT_SQ(rfft[n*2]) + XTRACT_SQ(rfft[n*2+1]);
+ rfft[n*2+1] = 0.f;
}
- freq[0] = XTRACT_SQ(freq[0]);
- freq[N] = XTRACT_SQ(freq[N]);
-
- //plan = fftwf_plan_r2r_1d(M, freq, time, FFTW_HC2R, FFTW_ESTIMATE);
-
- //fftwf_execute(plan);
+ rfft[0] = XTRACT_SQ(rfft[0]);
+ rfft[1] = XTRACT_SQ(rfft[1]);
- fftwf_execute_r2r(fft_plans.autocorrelation_fft_plan_2, freq, time);
+ rdft(M, -1, rfft, ooura_data_autocorrelation_fft.ooura_ip,
+ ooura_data_autocorrelation_fft.ooura_w);
/* Normalisation factor */
M = M * N;
for(n = 0; n < N; n++)
- result[n] = time[n] / (float)M;
- /* result[n] = time[n+1] / (float)M; */
+ result[n] = rfft[n] / (float)M;
- //fftwf_destroy_plan(plan);
- fftwf_free(freq);
- free(time);
+ free(rfft);
return XTRACT_SUCCESS;
}
-int xtract_mfcc(const float *data, const int N, const void *argv, float *result){
+int xtract_mfcc(const float *data, const int N, const void *argv, float *result)
+{
xtract_mel_filter *f;
int n, filter;
f = (xtract_mel_filter *)argv;
- for(filter = 0; filter < f->n_filters; filter++){
+ for(filter = 0; filter < f->n_filters; filter++)
+ {
result[filter] = 0.f;
- for(n = 0; n < N; n++){
+ for(n = 0; n < N; n++)
+ {
result[filter] += data[n] * f->filters[filter][n];
}
result[filter] = logf(result[filter] < XTRACT_LOG_LIMIT ? XTRACT_LOG_LIMIT : result[filter]);
@@ -242,53 +268,25 @@ int xtract_mfcc(const float *data, const int N, const void *argv, float *result)
return XTRACT_SUCCESS;
}
-int xtract_dct(const float *data, const int N, const void *argv, float *result){
+int xtract_dct(const float *data, const int N, const void *argv, float *result)
+{
- //fftwf_plan plan;
+ int n;
+ int m;
+ float *temp = calloc(N, sizeof(float));
- //plan =
- // fftwf_plan_r2r_1d(N, (float *) data, result, FFTW_REDFT00, FFTW_ESTIMATE);
-
- fftwf_execute_r2r(fft_plans.dct_plan, (float *)data, result);
- //fftwf_execute(plan);
- //fftwf_destroy_plan(plan);
-
- return XTRACT_SUCCESS;
-}
-
-#else
-
-int xtract_spectrum(const float *data, const int N, const void *argv, float *result){
-
- XTRACT_NEEDS_FFTW;
- return XTRACT_NO_RESULT;
-
-}
-
-int xtract_autocorrelation_fft(const float *data, const int N, const void *argv, float *result){
-
- XTRACT_NEEDS_FFTW;
- return XTRACT_NO_RESULT;
-
-}
-
-int xtract_mfcc(const float *data, const int N, const void *argv, float *result){
-
- XTRACT_NEEDS_FFTW;
- return XTRACT_NO_RESULT;
-
-}
-
-int xtract_dct(const float *data, const int N, const void *argv, float *result){
-
- XTRACT_NEEDS_FFTW;
- return XTRACT_NO_RESULT;
+ for (n = 0; n < N; ++n)
+ {
+ for(m = 1; m <= N; ++m) {
+ temp[n] += data[m - 1] * cos(M_PI * (n / (float)N) * (m - 0.5));
+ }
+ }
+ return XTRACT_SUCCESS;
}
-#endif
-
-int xtract_autocorrelation(const float *data, const int N, const void *argv, float *result){
+int xtract_autocorrelation(const float *data, const int N, const void *argv, float *result)
+{
/* Naive time domain implementation */
@@ -296,9 +294,11 @@ int xtract_autocorrelation(const float *data, const int N, const void *argv, flo
float corr;
- while(n--){
+ while(n--)
+ {
corr = 0;
- for(i = 0; i < N - n; i++){
+ for(i = 0; i < N - n; i++)
+ {
corr += data[i] * data[i + n];
}
result[n] = corr / N;
@@ -307,15 +307,18 @@ int xtract_autocorrelation(const float *data, const int N, const void *argv, flo
return XTRACT_SUCCESS;
}
-int xtract_amdf(const float *data, const int N, const void *argv, float *result){
+int xtract_amdf(const float *data, const int N, const void *argv, float *result)
+{
int n = N, i;
float md, temp;
- while(n--){
+ while(n--)
+ {
md = 0.f;
- for(i = 0; i < N - n; i++){
+ for(i = 0; i < N - n; i++)
+ {
temp = data[i] - data[i + n];
temp = (temp < 0 ? -temp : temp);
md += temp;
@@ -326,15 +329,18 @@ int xtract_amdf(const float *data, const int N, const void *argv, float *result)
return XTRACT_SUCCESS;
}
-int xtract_asdf(const float *data, const int N, const void *argv, float *result){
+int xtract_asdf(const float *data, const int N, const void *argv, float *result)
+{
int n = N, i;
float sd;
- while(n--){
+ while(n--)
+ {
sd = 0.f;
- for(i = 0; i < N - n; i++){
+ for(i = 0; i < N - n; i++)
+ {
/*sd = 1;*/
sd += XTRACT_SQ(data[i] - data[i + n]);
}
@@ -344,13 +350,15 @@ int xtract_asdf(const float *data, const int N, const void *argv, float *result)
return XTRACT_SUCCESS;
}
-int xtract_bark_coefficients(const float *data, const int N, const void *argv, float *result){
+int xtract_bark_coefficients(const float *data, const int N, const void *argv, float *result)
+{
int *limits, band, n;
limits = (int *)argv;
- for(band = 0; band < XTRACT_BARK_BANDS - 1; band++){
+ for(band = 0; band < XTRACT_BARK_BANDS - 1; band++)
+ {
result[band] = 0.f;
for(n = limits[band]; n < limits[band + 1]; n++)
result[band] += data[n];
@@ -359,7 +367,8 @@ int xtract_bark_coefficients(const float *data, const int N, const void *argv, f
return XTRACT_SUCCESS;
}
-int xtract_peak_spectrum(const float *data, const int N, const void *argv, float *result){
+int xtract_peak_spectrum(const float *data, const int N, const void *argv, float *result)
+{
float threshold, max, y, y2, y3, p, q, *input = NULL;
size_t bytes;
@@ -367,14 +376,16 @@ int xtract_peak_spectrum(const float *data, const int N, const void *argv, float
threshold = max = y = y2 = y3 = p = q = 0.f;
- if(argv != NULL){
+ if(argv != NULL)
+ {
q = ((float *)argv)[0];
threshold = ((float *)argv)[1];
}
else
rv = XTRACT_BAD_ARGV;
- if(threshold < 0 || threshold > 100){
+ if(threshold < 0 || threshold > 100)
+ {
threshold = 0;
rv = XTRACT_BAD_ARGV;
}
@@ -398,32 +409,38 @@ int xtract_peak_spectrum(const float *data, const int N, const void *argv, float
result[0] = 0;
result[N] = 0;
- for(n = 1; n < N; n++){
- if(input[n] >= threshold){
- if(input[n] > input[n - 1] && n + 1 < N && input[n] > input[n + 1]){
- result[N + n] = q * (n + (p = .5 * ((y = input[n-1]) -
- (y3 = input[n+1])) / (input[n - 1] - 2 *
- (y2 = input[n]) + input[n + 1])));
+ for(n = 1; n < N; n++)
+ {
+ if(input[n] >= threshold)
+ {
+ if(input[n] > input[n - 1] && n + 1 < N && input[n] > input[n + 1])
+ {
+ result[N + n] = q * (n + (p = .5 * ((y = input[n-1]) -
+ (y3 = input[n+1])) / (input[n - 1] - 2 *
+ (y2 = input[n]) + input[n + 1])));
result[n] = y2 - .25 * (y - y3) * p;
}
- else{
+ else
+ {
result[n] = 0;
result[N + n] = 0;
}
}
- else{
+ else
+ {
result[n] = 0;
result[N + n] = 0;
}
- }
+ }
free(input);
return (rv ? rv : XTRACT_SUCCESS);
}
-int xtract_harmonic_spectrum(const float *data, const int N, const void *argv, float *result){
+int xtract_harmonic_spectrum(const float *data, const int N, const void *argv, float *result)
+{
- int n = (N >> 1), M = n;
+ int n = (N >> 1), M = n;
const float *freqs, *amps;
float f0, threshold, ratio, nearest, distance;
@@ -435,14 +452,17 @@ int xtract_harmonic_spectrum(const float *data, const int N, const void *argv, f
ratio = nearest = distance = 0.f;
- while(n--){
- if(freqs[n]){
+ while(n--)
+ {
+ if(freqs[n])
+ {
ratio = freqs[n] / f0;
nearest = roundf(ratio);
distance = fabs(nearest - ratio);
if(distance > threshold)
result[n] = result[M + n] = 0.f;
- else {
+ else
+ {
result[n] = amps[n];
result[M + n] = freqs[n];
}
@@ -453,14 +473,15 @@ int xtract_harmonic_spectrum(const float *data, const int N, const void *argv, f
return XTRACT_SUCCESS;
}
-int xtract_lpc(const float *data, const int N, const void *argv, float *result){
+int xtract_lpc(const float *data, const int N, const void *argv, float *result)
+{
int i, j, k, M, L;
- float r = 0.f,
+ float r = 0.f,
error = 0.f;
float *ref = NULL,
- *lpc = NULL ;
+ *lpc = NULL ;
error = data[0];
k = N; /* The length of *data */
@@ -469,24 +490,27 @@ int xtract_lpc(const float *data, const int N, const void *argv, float *result){
ref = result;
lpc = result+L;
- if(error == 0.0){
+ if(error == 0.0)
+ {
memset(result, 0, M * sizeof(float));
return XTRACT_NO_RESULT;
}
memset(result, 0, M * sizeof(float));
- for (i = 0; i < L; i++) {
+ for (i = 0; i < L; i++)
+ {
/* Sum up this iteration's reflection coefficient. */
r = -data[i + 1];
- for (j = 0; j < i; j++)
+ for (j = 0; j < i; j++)
r -= lpc[j] * data[i - j];
ref[i] = r /= error;
/* Update LPC coefficients and total error. */
lpc[i] = r;
- for (j = 0; j < i / 2; j++) {
+ for (j = 0; j < i / 2; j++)
+ {
float tmp = lpc[j];
lpc[j] = r * lpc[i - 1 - j];
lpc[i - 1 - j] += r * tmp;
@@ -499,7 +523,8 @@ int xtract_lpc(const float *data, const int N, const void *argv, float *result){
return XTRACT_SUCCESS;
}
-int xtract_lpcc(const float *data, const int N, const void *argv, float *result){
+int xtract_lpcc(const float *data, const int N, const void *argv, float *result)
+{
/* Given N lpc coefficients extract an LPC cepstrum of size argv[0] */
/* Based on an an algorithm by rabiner and Juang */
@@ -507,7 +532,7 @@ int xtract_lpcc(const float *data, const int N, const void *argv, float *result)
int n, k;
float sum;
int order = N - 1; /* Eventually change this to Q = 3/2 p as suggested in Rabiner */
- int cep_length;
+ int cep_length;
if(argv == NULL)
cep_length = N - 1; /* FIX: if we're going to have default values, they should come from the descriptor */
@@ -517,7 +542,8 @@ int xtract_lpcc(const float *data, const int N, const void *argv, float *result)
memset(result, 0, cep_length * sizeof(float));
- for (n = 1; n <= order && n <= cep_length; n++){
+ for (n = 1; n <= order && n <= cep_length; n++)
+ {
sum = 0.f;
for (k = 1; k < n; k++)
sum += k * result[k-1] * data[n - k];
@@ -525,7 +551,8 @@ int xtract_lpcc(const float *data, const int N, const void *argv, float *result)
}
/* be wary of these interpolated values */
- for(n = order + 1; n <= cep_length; n++){
+ for(n = order + 1; n <= cep_length; n++)
+ {
sum = 0.f;
for (k = n - (order - 1); k < n; k++)
sum += k * result[k-1] * data[n - k];
@@ -539,7 +566,8 @@ int xtract_lpcc(const float *data, const int N, const void *argv, float *result)
// return XTRACT_SUCCESS;
//}
-int xtract_subbands(const float *data, const int N, const void *argv, float *result){
+int xtract_subbands(const float *data, const int N, const void *argv, float *result)
+{
int n, bw, xtract_func, nbands, scale, start, lower, *argi, rv;
@@ -558,10 +586,12 @@ int xtract_subbands(const float *data, const int N, const void *argv, float *res
lower = start;
rv = XTRACT_SUCCESS;
- for(n = 0; n < nbands; n++){
+ for(n = 0; n < nbands; n++)
+ {
/* Bounds sanity check */
- if(lower >= N || lower + bw >= N){
+ if(lower >= N || lower + bw >= N)
+ {
// printf("n: %d\n", n);
result[n] = 0.f;
continue;
@@ -572,14 +602,15 @@ int xtract_subbands(const float *data, const int N, const void *argv, float *res
if(rv != XTRACT_SUCCESS)
return rv;
- switch(scale){
- case XTRACT_OCTAVE_SUBBANDS:
- lower += bw;
- bw = lower;
- break;
- case XTRACT_LINEAR_SUBBANDS:
- lower += bw;
- break;
+ switch(scale)
+ {
+ case XTRACT_OCTAVE_SUBBANDS:
+ lower += bw;
+ bw = lower;
+ break;
+ case XTRACT_LINEAR_SUBBANDS:
+ lower += bw;
+ break;
}
}
diff --git a/src/window.c b/src/window.c
index f2ceecc..d967bfd 100644
--- a/src/window.c
+++ b/src/window.c
@@ -1,5 +1,5 @@
/* libxtract feature extraction library
- *
+ *
* Copyright (C) 2006 Jamie Bullock
*
* This program is free software; you can redistribute it and/or modify
@@ -14,7 +14,7 @@
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
* USA.
*/
@@ -24,7 +24,8 @@
#include "xtract_window_private.h"
-void gauss(float *window, const int N, const float sd){
+void gauss(float *window, const int N, const float sd)
+{
int n;
const float M = N - 1;
@@ -32,11 +33,12 @@ void gauss(float *window, const int N, const float sd){
den,
exponent;
- for (n = 0; n < N; n++) {
+ for (n = 0; n < N; n++)
+ {
num = n - M / 2.f;
den = sd * M / 2.f;
-
+
exponent = -0.5 * powf(num / den, 2);
window[n] = exp(exponent);
@@ -44,7 +46,8 @@ void gauss(float *window, const int N, const float sd){
}
}
-void hamming(float *window, const int N){
+void hamming(float *window, const int N)
+{
int n;
const float M = N - 1;
@@ -54,7 +57,8 @@ void hamming(float *window, const int N){
}
-void hann(float *window, const int N){
+void hann(float *window, const int N)
+{
int n;
const float M = N - 1;
@@ -64,7 +68,8 @@ void hann(float *window, const int N){
}
-void bartlett(float *window, const int N){
+void bartlett(float *window, const int N)
+{
int n;
const float M = N - 1;
@@ -74,7 +79,8 @@ void bartlett(float *window, const int N){
}
-void triangular(float *window, const int N){
+void triangular(float *window, const int N)
+{
int n;
const float M = N - 1;
@@ -83,17 +89,19 @@ void triangular(float *window, const int N){
window[n] = 2.f / N * (N / 2.f - fabsf(n - M / 2.f));
}
-void bartlett_hann(float *window, const int N){
+void bartlett_hann(float *window, const int N)
+{
int n;
const float M = N - 1,
- a0 = 0.62,
- a1 = 0.5,
- a2 = 0.38;
+ a0 = 0.62,
+ a1 = 0.5,
+ a2 = 0.38;
float term1 = 0.f,
term2 = 0.f;
- for (n = 0; n < N; n++){
+ for (n = 0; n < N; n++)
+ {
term1 = a1 * fabsf(n / M - 0.5);
term2 = a2 * cosf(2.0 * PI * (float)n / M);
@@ -102,18 +110,20 @@ void bartlett_hann(float *window, const int N){
}
}
-void blackman(float *window, const int N){
+void blackman(float *window, const int N)
+{
int n;
const float M = N - 1,
- a0 = 0.42,
- a1 = 0.5,
- a2 = 0.08;
+ a0 = 0.42,
+ a1 = 0.5,
+ a2 = 0.08;
float term1 = 0.f,
term2 = 0.f;
- for (n = 0; n < N; n++) {
-
+ for (n = 0; n < N; n++)
+ {
+
term1 = a1 * cosf(2.0 * PI * (float)n / M);
term2 = a2 * cosf(4.0 * PI * (float)n / M);
@@ -124,54 +134,61 @@ void blackman(float *window, const int N){
#define BIZ_EPSILON 1E-21 // Max error acceptable
/* Based on code from mplayer window.c, and somewhat beyond me */
-float besselI0(float x){
+float besselI0(float x)
+{
- float temp;
- float sum = 1.0;
- float u = 1.0;
- float halfx = x/2.0;
- int n = 1;
+ float temp;
+ float sum = 1.0;
+ float u = 1.0;
+ float halfx = x/2.0;
+ int n = 1;
- do {
+ do
+ {
- temp = halfx/(float)n;
- u *=temp * temp;
- sum += u;
- n++;
+ temp = halfx/(float)n;
+ u *=temp * temp;
+ sum += u;
+ n++;
- } while (u >= BIZ_EPSILON * sum);
+ }
+ while (u >= BIZ_EPSILON * sum);
- return(sum);
+ return(sum);
}
-void kaiser(float *window, const int N, const float alpha){
+void kaiser(float *window, const int N, const float alpha)
+{
int n;
const float M = N - 1;
float num;
- for (n = 0; n < N; n++) {
+ for (n = 0; n < N; n++)
+ {
num = besselI0(alpha * sqrtf(1.0 - powf((2.0 * n / M - 1), 2)));
window[n] = num / besselI0(alpha);
-
+
}
}
-void blackman_harris(float *window, const int N){
+void blackman_harris(float *window, const int N)
+{
int n;
const float M = N - 1,
- a0 = 0.35875,
- a1 = 0.48829,
- a2 = 0.14128,
- a3 = 0.01168;
+ a0 = 0.35875,
+ a1 = 0.48829,
+ a2 = 0.14128,
+ a3 = 0.01168;
float term1 = 0.f,
term2 = 0.f,
term3 = 0.f;
- for (n = 0; n < N; n++) {
+ for (n = 0; n < N; n++)
+ {
term1 = a1 * cosf(2.0 * PI * n / M);
term2 = a2 * cosf(4.0 * PI * n / M);
diff --git a/src/xtract_globals_private.h b/src/xtract_globals_private.h
index cab1660..d280985 100644
--- a/src/xtract_globals_private.h
+++ b/src/xtract_globals_private.h
@@ -23,17 +23,12 @@
#ifndef XTRACT_GLOBALS_PRIVATE_H
#define XTRACT_GLOBALS_PRIVATE_H
-#ifdef XTRACT_FFT
-#include <fftw3.h>
-
-struct xtract_fft_plans_ {
-
- fftwf_plan spectrum_plan;
- fftwf_plan autocorrelation_fft_plan_1;
- fftwf_plan autocorrelation_fft_plan_2;
- fftwf_plan dct_plan;
-
-};
+typedef struct xtract_ooura_data_
+{
+ int *ooura_ip;
+ double *ooura_w;
+ bool initialised;
+} xtract_ooura_data;
#ifdef DEFINE_GLOBALS
#define GLOBAL
@@ -41,9 +36,10 @@ struct xtract_fft_plans_ {
#define GLOBAL extern
#endif
-GLOBAL struct xtract_fft_plans_ fft_plans;
-
-#endif /* FFT */
+GLOBAL struct xtract_ooura_data_ ooura_data_dct;
+GLOBAL struct xtract_ooura_data_ ooura_data_mfcc;
+GLOBAL struct xtract_ooura_data_ ooura_data_spectrum;
+GLOBAL struct xtract_ooura_data_ ooura_data_autocorrelation_fft;
#endif /* Header guard */
diff --git a/swig/java/Makefile.am b/swig/java/Makefile.am
index 26cc5b9..1e935ca 100644
--- a/swig/java/Makefile.am
+++ b/swig/java/Makefile.am
@@ -1,3 +1,4 @@
+MAINTAINERCLEANFILES = all-local $(javasources) Makefile.in
javasources = \
SWIGTYPE_p_float.java \
@@ -61,8 +62,6 @@ javaclasses = \
xtract_vector_t.class \
xtract_window_types_.class
-MAINTAINERCLEANFILES = $(javasources) Makefile.in
-
BUILT_SOURCES = $(srcdir)/xtract_wrap.c
SWIG_SOURCES = jxtract.i
diff --git a/swig/java/SWIG.java b/swig/java/SWIG.java
deleted file mode 100644
index 0d6c47b..0000000
--- a/swig/java/SWIG.java
+++ /dev/null
@@ -1,16 +0,0 @@
-package xtract.core;
-
-public abstract class SWIG {
- protected abstract long getPointer();
-
- public boolean equals(Object obj) {
- boolean equal = false;
- if (obj instanceof SWIG)
- equal = (((SWIG)obj).getPointer() == this.getPointer());
- return equal;
- }
-
- public SWIGTYPE_p_void getVoidPointer() {
- return new SWIGTYPE_p_void(getPointer(), false);
- }
-}
diff --git a/xtract/xtract_helper.h b/xtract/xtract_helper.h
index a77cf5b..52851c1 100644
--- a/xtract/xtract_helper.h
+++ b/xtract/xtract_helper.h
@@ -27,6 +27,8 @@
extern "C" {
#endif
+#include <stdbool.h>
+
/**
* \defgroup helper helper functions
*
@@ -66,6 +68,9 @@ int xtract_features_from_subframes(const float *data, const int N, const int fea
/** \brief Test whether a number is denormal */
int xtract_is_denormal(double const d);
+/** \brief Test whether a number is a power of two */
+bool xtract_is_poweroftwo(unsigned int x);
+
/** @} */
#ifdef __cplusplus
generated by cgit v1.2.3 (git 2.25.1) at 2025-07-02 07:03:52 +0000