---

FastIca.hpp

#ifndef __FastIca__
#define __FastIca__

#include "SingleUnitFastIca.hpp"
#include "RealVector.hpp"

class FastIca 
{
protected:

int                             n, nmax;
SingleUnitFastIca**     unit;

int                             count;

bool                            rawDataUsed;    // non sphered data need covariance, but avoid PCA
RealVector*                     mean;
RealSMatrix*            C;                      // covariance
RealSMatrix*            Cinv;                   // inverse of covariance

RealVector*                     wTnew_C;

double                  alpha;          // if less than 1, partial decorrelation

public:

FastIca(int nx, double eps=1.0e-4, bool sphered=true, double ralpha=1.0);
virtual ~FastIca();

virtual int numberOfUnits(){return n;}
virtual int maxUnits(){return nmax;}

virtual void add(SingleUnitFastIca* aunit);
virtual void set(int i, AContrastFunction* func){return unit[i]->set(func);}

virtual SingleUnitFastIca* get(int i){return unit[i];}
virtual RealVector* getW(int i){return unit[i]->getW();}

virtual int getBest(RealVector* src);

// learning
virtual void init(int size);

virtual void startLearning(); // to use to start a new iteration on many samples
virtual void learn(RealVector* sample);
virtual bool endLearning();     // to update at the end of an iteration on many samples + deflation

// out
virtual RealVector* forward(RealVector* src);           // maximise absolute value of kurtosis

virtual void output()
        {
        printf("FastICA");
        }                               
};

#endif

Restoreinpaint sourceforge project `C++/Java Image Processing, Restoration, Inpainting Project'.

Bernard De Cuyper: Open Project Leader: Concept, design and development. Bernard De Cuyper & Eddy Fraiha 2002, 2003. Bernard De Cuyper 2004. Open and free, for friendly usage only. Modifications on Belgium ground of this piece of artistic work, by governement institutions or companies, must be notified to Bernard De Cuyper.