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FastIca Class Reference

#include <FastIca.hpp>

Collaboration diagram for FastIca:

[legend]List of all members.

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Detailed Description

Sphered general fast ICA Separator.

Author:

Bernard De Cuyper

Version:

0.05

Date:

14/12/2003

 
Purpose:        General fast ICA. 

Paper:  "Simple Neural Models for Independent Component Analysis.", 
                Aapo Hyvarinen and Erkki Oja, 18/02/1997 , Report University of Technology, Helsinski.

                "One Unit Learning Rules for Independent Component Analysis.", 
                Aapo Hyvarinen and Erkki Oja, 1997 , Helsinski.
                

@ Copyrights: Bernard De Cuyper & Eddy Fraiha 2003, Eggs & Pictures. MIT/Open BSD copyright model.

Public Methods
	FastIca (int nx, double eps=1.0e-4, bool sphered=true, double ralpha=1.0)
virtual	~FastIca ()
virtual int	numberOfUnits ()
virtual int	maxUnits ()
virtual void	add (SingleUnitFastIca *aunit)
virtual void	set (int i, AContrastFunction *func)
virtual SingleUnitFastIca *	get (int i)
virtual RealVector *	getW (int i)
virtual int	getBest (RealVector *src)
virtual void	init (int size)
virtual void	startLearning ()
virtual void	learn (RealVector *sample)
virtual bool	endLearning ()
virtual RealVector *	forward (RealVector *src)
virtual void	output ()
Protected Attributes
int	n
int	nmax
SingleUnitFastIca **	unit
int	count
bool	rawDataUsed
RealVector *	mean
RealSMatrix *	C
RealSMatrix *	Cinv
RealVector *	wTnew_C
double	alpha

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The documentation for this class was generated from the following files:

• FastIca.hpp
• FastIca.cpp

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.