annotate hmm/hmm.h @ 321:f1e6be2de9a5

A threshold (delta) is added in the peak picking parameters structure (PPickParams). It is used as an offset when computing the smoothed detection function. A constructor for the structure PPickParams is also added to set the parameters to 0 when a structure instance is created. Hence programmes using the peak picking parameter structure and which do not set the delta parameter (e.g. QM Vamp note onset detector) won't be affected by the modifications.

Functions modified:
- dsp/onsets/PeakPicking.cpp
- dsp/onsets/PeakPicking.h
- dsp/signalconditioning/DFProcess.cpp
- dsp/signalconditioning/DFProcess.h

#ifndef _HMM_H
#define _HMM_H

#ifdef __cplusplus
extern "C" {
#endif

/*
 *  hmm.h
 *
 *  Created by Mark Levy on 12/02/2006.
 *  Copyright 2006 Centre for Digital Music, Queen Mary, University of London.

    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.  See the file
    COPYING included with this distribution for more information.
 *
 */

#ifndef PI    
#define PI 3.14159265358979323846264338327950288
#endif 

typedef struct _model_t {
	int N;			/* number of states */
	double* p0;		/* initial probs */
	double** a;		/* transition probs */
	int L;			/* dimensionality of data */
	double** mu;	/* state means */
	double** cov;	/* covariance, tied between all states */
} model_t;

void hmm_train(double** x, int T, model_t* model);							/* with scaling */
void forward_backwards(double*** xi, double** gamma, double* loglik, double* loglik1, double* loglik2, int iter, 
					   int N, int T, double* p0, double** a, double** b);
void baum_welch(double* p0, double** a, double** mu, double** cov, int N, int T, int L, double** x, double*** xi, double** gamma);
void viterbi_decode(double** x, int T, model_t* model, int* q);				/* using logs */
model_t* hmm_init(double** x, int T, int L, int N);
void hmm_close(model_t* model);
void invert(double** cov, int L, double** icov, double* detcov);			/* uses LAPACK (included with Mac OSX) */
double gauss(double* x, int L, double* mu, double** icov, double detcov, double* y, double* z);
double loggauss(double* x, int L, double* mu, double** icov, double detcov, double* y, double* z);
void hmm_print(model_t* model);

#ifdef __cplusplus
}
#endif

#endif