/usr/share/doc/libclam-doc/examples/TickExtractor/RD_AutoCorrelationTD.cxx is in libclam-doc 1.4.0-5.2.
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* Author: fabien gouyon
* http://www.iua.upf.es/~fgouyon
* Description:
*
* Syntax: C++
*
* Copyright (c) 2001-2004 MUSIC TECHNOLOGY GROUP (MTG)
* UNIVERSITAT POMPEU FABRA
*
*
* 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
*
*/
#include "RD_AutoCorrelationTD.hxx"
#include <CLAM/CLAM_Math.hxx>
#include <numeric>
#include <iostream>
namespace CLAM
{
namespace RhythmDescription
{
void AutoCorrelationTDConfig::DefaultInit()
{
AddAll();
// All Attributes are added
UpdateData();
//default values
SetUpperLimit(10);
SetAutomaticIntegTime(true);
SetIntegrationTime(10);
}
AutoCorrelationTD::AutoCorrelationTD()
{
}
AutoCorrelationTD::~AutoCorrelationTD()
{
}
const char* AutoCorrelationTD::GetClassName() const
{
return "AutoCorrelationTD";
}
const ProcessingConfig& AutoCorrelationTD::GetConfig() const
{
return mConfig;
}
// Configure the Processing Object according to the Config object
bool AutoCorrelationTD::ConcreteConfigure(const ProcessingConfig& c)
{
CopyAsConcreteConfig( mConfig, c );
return true;
}
bool AutoCorrelationTD::Do(void)
{
CLAM_ASSERT( false, "AutoCorrelationTD::Do(): Supervised mode not implemented" );
return false;
}
bool AutoCorrelationTD::Do(Array<TData>& sequence, Array<TData>& acf)
{
int ul = mConfig.GetUpperLimit();
int it = mConfig.GetIntegrationTime();
int maxIt = sequence.Size()-ul;
if (it>=maxIt)
it = maxIt;
if (mConfig.GetAutomaticIntegTime())
{
it = maxIt;
}
if(maxIt<=1)
{
// the sequence is too short, ACF upper limit and integration time are being changed
it = 2;
ul = sequence.Size()-it;
// final estimate may be unreliable.
}
Array<TData> x, y;
TData* ptr = sequence.GetPtr();
//build x
x.SetPtr(ptr,it);
/*
TData normX=0.0;
for(int i=0;i<x.Size();i++)
normX += x[i]*x[i];
normX = sqrt(normX);
*/
TData normX = sqrt( std::inner_product( x.GetPtr(), x.GetPtr()+it,
x.GetPtr(), 0.0 ) );
//acf computation
TData tmpCoef;
TData normY;
for(int m=0;m<maxIt;m++)
{
tmpCoef = 0.0;
//build y
y.SetPtr(ptr,it);
/*
normY=0.0;
for(int i=0;i<y.Size();i++)
normY += y[i]*y[i];
normY = sqrt(normY);
*/
normY = sqrt( std::inner_product( y.GetPtr(), y.GetPtr()+it,
y.GetPtr(), 0.0 ) );
/*
for(int k=0;k<y.Size();k++)
tmpCoef += x[k]*y[k];
*/
tmpCoef = std::inner_product( x.GetPtr(), x.GetPtr()+it,
y.GetPtr(), 0.0 );
tmpCoef /= normX*normY;
acf.AddElem(tmpCoef);
ptr++;
}
/* --MATLAB code--
for featInd=1:size(A,2)
for m=1:upperLimit
x = []; y = []; aux = [];
x = A(1:integTime+1,featInd);
y = A(m:m+integTime,featInd);
aux = x'*y/(norm(x)*norm(y));
atc(featInd,m) = aux;
end;
end;
*/
return true;
}
}
} // namespace CLAM
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