cannam@31: /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */
cannam@31: 
cannam@31: /*
cannam@31:     QM DSP Library
cannam@31: 
cannam@31:     Centre for Digital Music, Queen Mary, University of London.
cannam@31:     This file copyright 2008 QMUL
cannam@31:     All rights reserved.
cannam@31: */
cannam@31: 
cannam@31: #ifndef KLDIVERGENCE_H
cannam@31: #define KLDIVERGENCE_H
cannam@31: 
cannam@31: #include <vector>
cannam@31: 
cannam@31: using std::vector;
cannam@31: 
cannam@31: /**
cannam@31:  * Calculate a symmetrised Kullback-Leibler divergence of Gaussian
cannam@31:  * models based on mean and variance vectors.  All input vectors must
cannam@31:  * be of equal size.
cannam@31:  */
cannam@31: 
cannam@31: class KLDivergence
cannam@31: {
cannam@31: public:
cannam@31:     KLDivergence() { }
cannam@31:     ~KLDivergence() { }
cannam@31: 
cannam@31:     double distance(const vector<double> &means1,
cannam@31: 		    const vector<double> &variances1,
cannam@31: 		    const vector<double> &means2,
cannam@31: 		    const vector<double> &variances2);
cannam@31: };
cannam@31: 
cannam@31: #endif
cannam@31: