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Christian Beckmann authoredChristian Beckmann authored
melpca.h 1.21 KiB
/* MELODIC - Multivariate exploratory linear optimized decomposition into
independent components
melpca.h - PCA and whitening
Christian F. Beckmann, FMRIB Image Analysis Group
Copyright (C) 1999-2004 University of Oxford */
/* CCOPYRIGHT */
#ifndef __MELODICPCA_h
#define __MELODICPCA_h
#include "newimage/newimageall.h"
#include "utils/log.h"
#include "meloptions.h"
#include "meldata.h"
#include "melodic.h"
//#include "melreport.h"
#include "newmatap.h"
#include "newmatio.h"
using namespace Utilities;
using namespace NEWIMAGE;
namespace Melodic{
class MelodicReport;
class MelodicPCA
{
public:
MelodicPCA(MelodicData &pmelodat, MelodicOptions &popts, Log &plogger, MelodicReport &preport):
melodat(pmelodat),
opts(popts),
logger(plogger),
report(preport)
{
}
void perf_pca(const Matrix &Data);
void perf_white(const Matrix &Data);
private:
MelodicData &melodat;
MelodicOptions &opts;
Log &logger;
MelodicReport &report;
int pcadim();
RowVector cumsum(const RowVector& Inp);
Matrix ppca_est(const RowVector& eigenvalues, const int N);
RowVector Feta(int n1,int n2);
};
}
#endif