view maths/CosineDistance.cpp @ 298:255e431ae3d4

* Key detector: when returning key strengths, use the peak value of the three underlying chromagram correlations (from 36-bin chromagram) corresponding to each key, instead of the mean. Rationale: This is the same method as used when returning the key value, and it's nice to have the same results in both returned value and plot. The peak performed better than the sum with a simple test set of triads, so it seems reasonable to change the plot to match the key output rather than the other way around. * FFT: kiss_fftr returns only the non-conjugate bins, synthesise the rest rather than leaving them (perhaps dangerously) undefined. Fixes an uninitialised data error in chromagram that could cause garbage results from key detector. * Constant Q: remove precalculated values again, I reckon they're not proving such a good tradeoff.
author Chris Cannam <c.cannam@qmul.ac.uk>
date Fri, 05 Jun 2009 15:12:39 +0000
parents 43943a4382ef
children 769da847732b
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/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */

/*
    QM DSP Library

    Centre for Digital Music, Queen Mary, University of London.
    This file copyright 2008 Kurt Jacobson.
    All rights reserved.
*/

#include "CosineDistance.h"

#include <iostream>
#include <limits>

using std::cerr;

double CosineDistance::distance(const vector<double> &v1,
                                const vector<double> &v2)
{
    dist = 1.0; dDenTot = 0; dDen1 = 0; dDen2 = 0; dSum1 =0;

    //check if v1, v2 same size
    if (v1.size() != v2.size())
    {
        cerr << "CosineDistance::distance: ERROR: vectors not the same size\n";
        return 1.0;
    }
    else
    {
        for(int i=0; i<v1.size(); i++)
        {
            dSum1 += v1[i]*v2[i];
            dDen1 += v1[i]*v1[i];
            dDen2 += v2[i]*v2[i];
        }
        dDenTot = sqrt(fabs(dDen1*dDen2));
        if(dDenTot == 0)
        {
            cerr << "CosineDistance::distance: WARNING: dividing by zero in cosine dist\n";
            return 1.0;
        }
	
        dist = 1-((dSum1)/dDenTot);
        return dist;
    }
}