BlockThresh2d

This function is used to threshold the coefficients by group (or block).

Perform wavelet analysis (orthogonal,translation invariant, tensorial, 1-2-3d transforms, thresholding, block thresholding, linear,...) with applications to data compression, denoising/regression or clustering. The core of the code is a port of 'MATLAB' Wavelab toolbox written by D. Donoho, A. Maleki and M. Shahram.

Navarro Fabien

rwavelet

Wavelet Analysis

Fabien Navarro

Christophe Chesneau

BlockThresh2d function

<dl><dt>wc</dt>
<dd>wavelet coefficients.</dd>
<dt>j0</dt>
<dd>coarsest decomposition scale.</dd>
<dt>hatsigma</dt>
<dd>estimator of noise variance.</dd>
<dt>L</dt>
<dd>Block size (n mod L must be 0).</dd>
<dt>qmf</dt>
<dd>Orthonormal quadrature mirror filter.</dd>
<dt>lamb</dt>
<dd>Threshold parameter.</dd>
<dt>thresh</dt>
<dd>Thresholding rule: 'hard', or 'JamesStein'.</dd></dl>

Arguments

2d Wavelet Block thresholding — BlockThresh2d

<dl>

<dt>wc</dt>
<dd>wavelet coefficients.</dd>


<dt>j0</dt>
<dd>coarsest decomposition scale.</dd>


<dt>hatsigma</dt>
<dd>estimator of noise variance.</dd>


<dt>L</dt>
<dd>Block size (n mod L must be 0).</dd>


<dt>qmf</dt>
<dd>Orthonormal quadrature mirror filter.</dd>


<dt>lamb</dt>
<dd>Threshold parameter.</dd>


<dt>thresh</dt>
<dd>Thresholding rule: 'hard', or 'JamesStein'.</dd>

</dl>

BlockThresh2d: 2d Wavelet Block thresholding

Description

Usage

Value

Arguments