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#ifndef NOISEGENERATOR_H
#define NOISEGENERATOR_H
/*
* This is the Loris C++ Class Library, implementing analysis,
* manipulation, and synthesis of digitized sounds using the Reassigned
* Bandwidth-Enhanced Additive Sound Model.
*
* Loris is Copyright (c) 1999-2010 by Kelly Fitz and Lippold Haken
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY, without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* 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., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
*
* NoiseGenerator.h
*
* Definition of a class representing a gaussian noise generator, filtered and
* used as a modulator in bandwidth-enhanced synthesis.
*
* Kelly Fitz, 5 June 2003
* revised 11 October 2009
* loris@cerlsoundgroup.org
*
* http://www.cerlsoundgroup.org/Loris/
*
*/
// begin namespace
namespace Loris {
// ---------------------------------------------------------------------------
// class NoiseGenerator
//
class NoiseGenerator
{
// --- interface ---
public:
//! Create a new noise generator with the (optionally) specified
//! seed (default is 1.0).
//!
//! \param initSeed is the initial seed for the random number generator
explicit NoiseGenerator( double initSeed = 1.0 );
// copy and assign are free
//! Re-seed the random number generator.
//!
//! \param newSeed is the new seed for the random number generator
void seed( double newSeed );
// sample
//
//! Generate and return a new sample of Gaussian noise having zero
//! mean and unity standard deviation. Approximate the normal distribution
//! using the Box-Muller transformation applied to a uniform random number
//! generator taken from "Random Number Generators: Good Ones Are Hard To Find,"
//! Stephen Park and Keith Miller, Communications of the ACM, October 1988,
//! vol. 31, Number 10.
double sample( void );
//! Function call operator, same as calling sample().
//!
//! \sa sample
double operator() ( void ) { return sample(); }
// --- implementation ---
private:
// random number generation helpers
inline double uniform( void );
inline double gaussian_normal( void );
// random number generator state variables
double m_useed;
double m_gset;
bool m_iset;
};
} // end of namespace Loris
#endif /* ndef NOISEGENERATOR_H */
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