c@256: /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */
c@256: 
c@256: /*
c@256:     QM DSP Library
c@256: 
c@256:     Centre for Digital Music, Queen Mary, University of London.
c@256:     This file copyright 2008 QMUL
c@256:     All rights reserved.
c@256: */
c@256: 
c@256: #ifndef KLDIVERGENCE_H
c@256: #define KLDIVERGENCE_H
c@256: 
c@256: #include <vector>
c@256: 
c@256: using std::vector;
c@256: 
c@256: /**
c@256:  * Calculate a symmetrised Kullback-Leibler divergence of Gaussian
c@256:  * models based on mean and variance vectors.  All input vectors must
c@256:  * be of equal size.
c@256:  */
c@256: 
c@256: class KLDivergence
c@256: {
c@256: public:
c@256:     KLDivergence() { }
c@256:     ~KLDivergence() { }
c@256: 
c@256:     double distance(const vector<double> &means1,
c@256: 		    const vector<double> &variances1,
c@256: 		    const vector<double> &means2,
c@256: 		    const vector<double> &variances2);
c@256: };
c@256: 
c@256: #endif
c@256: