de.gsi.math.spectra.wavelet

Class CDFWavelet

java.lang.Object

de.gsi.math.spectra.wavelet.CDFWavelet

public class CDFWavelet
extends Object

Constructor Summary

Constructors

Constructor and Description
CDFWavelet()

Method Summary

Modifier and Type	Method and Description
void	fwt53(double[] x, int n) fwt53 - Forward biorthogonal 5/3 wavelet transform (lifting implementation) x is an input signal, which will be replaced by its output transform.
void	fwt97(double[] x, int n) Cohen-Daubechies-Feauveau forward biorthogonal 9/7 wavelet transform (lifting implementation) The first half part of the output signal contains the approximation coefficients.
void	iwt53(double[] x, int n) iwt53 - Inverse biorthogonal 5/3 wavelet transform This is the inverse of fwt53 so that iwt53(fwt53(x,n),n)=x for every signal x of length n.
void	iwt97(double[] x, int n) iwt97 - Inverse biorthogonal 9/7 wavelet transform This is the inverse of fwt97 so that iwt97(fwt97(x,n),n)=x for every signal x of length n.
static void	main(String[] argv)

Methods inherited from class java.lang.Object

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

Constructor Detail

CDFWavelet

public CDFWavelet()

Method Detail

fwt53

public void fwt53(double[] x,
                  int n)

fwt53 - Forward biorthogonal 5/3 wavelet transform (lifting implementation) x is an input signal, which will be replaced by its output transform. n is the length of the signal, and must be a power of 2. The first half part of the output signal contains the approximation coefficients. The second half part contains the detail coefficients (aka. the wavelets coefficients). See also iwt53.

Parameters:

x - input signal, which will be replaced by its output transform

n - length of the signal, and must be a power of 2

fwt97

public void fwt97(double[] x,
                  int n)

Cohen-Daubechies-Feauveau forward biorthogonal 9/7 wavelet transform (lifting implementation) The first half part of the output signal contains the approximation coefficients. The second half part contains the detail coefficients (aka. wavelets coefficients).

Parameters:

x - input signal, which will be replaced by its output transform

n - length of the signal, and must be a power of 2

iwt53

public void iwt53(double[] x,
                  int n)

iwt53 - Inverse biorthogonal 5/3 wavelet transform This is the inverse of fwt53 so that iwt53(fwt53(x,n),n)=x for every signal x of length n. See also fwt53.

Parameters:

x - input signal, which will be replaced by its output transform

n - length of the signal, and must be a power of 2

iwt97

public void iwt97(double[] x,
                  int n)

iwt97 - Inverse biorthogonal 9/7 wavelet transform This is the inverse of fwt97 so that iwt97(fwt97(x,n),n)=x for every signal x of length n. See also fwt97.

Parameters:

x - input signal, which will be replaced by its output transform

n - length of the signal, and must be a power of 2

main

public static void main(String[] argv)