org.openimaj.math.matrix.algorithm.ica

Class SymmetricFastICA

java.lang.Object

org.openimaj.math.matrix.algorithm.ica.IndependentComponentAnalysis

org.openimaj.math.matrix.algorithm.ica.SymmetricFastICA

public class SymmetricFastICA
extends IndependentComponentAnalysis

Constructor Summary

Constructors

Constructor and Description
SymmetricFastICA()

Method Summary

Modifier and Type	Method and Description
protected void	estimateComponentsWhitened(Jama.Matrix Z, double[] mean, Jama.Matrix X, Jama.Matrix CC) Estimate the IC's from the given decorrelated (mean-centred and whitened) data matrix, Z.
Jama.Matrix	getDemixingMatrix()
Jama.Matrix	getIndependentComponentMatrix()
Jama.Matrix	getSignalToInterferenceMatrix()
static void	main(String[] args)

Methods inherited from class org.openimaj.math.matrix.algorithm.ica.IndependentComponentAnalysis

estimateComponents, estimateComponents

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SymmetricFastICA

public SymmetricFastICA()

Method Detail

getSignalToInterferenceMatrix

public Jama.Matrix getSignalToInterferenceMatrix()

Specified by:

getSignalToInterferenceMatrix in class IndependentComponentAnalysis

getDemixingMatrix

public Jama.Matrix getDemixingMatrix()

Specified by:

getDemixingMatrix in class IndependentComponentAnalysis

getIndependentComponentMatrix

public Jama.Matrix getIndependentComponentMatrix()

Specified by:

getIndependentComponentMatrix in class IndependentComponentAnalysis

estimateComponentsWhitened

protected void estimateComponentsWhitened(Jama.Matrix Z,
                                          double[] mean,
                                          Jama.Matrix X,
                                          Jama.Matrix CC)

Description copied from class: IndependentComponentAnalysis

Estimate the IC's from the given decorrelated (mean-centred and whitened) data matrix, Z.

Specified by:

estimateComponentsWhitened in class IndependentComponentAnalysis

Parameters:

Z - the whitened data; one observation per row

mean - the mean of each dimension

X - the mean-centered data; one observation per row

main

public static void main(String[] args)