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/*
* Copyright (C) 2012 Jamie Bullock
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
* IN THE SOFTWARE.
*
*/
/* xtract_delta.c: defines functions that extract a feature as a single value from more than one input vector */
#include <math.h>
#include "xtract/libxtract.h"
int xtract_flux(const double *data, const int N, const void *argv , double *result)
{
/* FIX: don't be lazy -- take the lnorm of the difference vector! */
return xtract_lnorm(data, N, argv, result);
}
int xtract_lnorm(const double *data, const int N, const void *argv , double *result)
{
int n,
type,
normalise,
k = 0;
double order;
order = *(double *)argv;
type = *((double *)argv+1);
normalise = (int)*((double *)argv+2);
order = order > 0 ? order : 2.0;
*result = 0.0;
switch(type)
{
case XTRACT_POSITIVE_SLOPE:
for(n = 0; n < N; n++)
{
if(data[n] > 0)
{
*result += pow(data[n], order);
++k;
}
}
break;
default:
for(n = 0; n < N; n++)
{
*result += pow(fabs(data[n]), order);
++k;
}
break;
}
*result = pow(*result, 1.0 / order);
if (k == 0)
{
return XTRACT_NO_RESULT;
}
if (normalise == 1)
{
*result = log(1 + *result);
}
return XTRACT_SUCCESS;
}
int xtract_attack_time(const double *data, const int N, const void *argv , double *result)
{
return XTRACT_FEATURE_NOT_IMPLEMENTED;
}
int xtract_decay_time(const double *data, const int N, const void *argv, double *result)
{
return XTRACT_FEATURE_NOT_IMPLEMENTED;
}
int xtract_difference_vector(const double *data, const int N, const void *argv, double *result)
{
const double *frame1,
*frame2;
int n;
n = N >> 1;
frame1 = data;
frame2 = data + n;
while(n--)
result[n] = frame1[n] - frame2[n];
return XTRACT_SUCCESS;
}
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