📄 statshrink.m
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function [xh, table] = StatShrink(y, L, thrvec, qmf)
% StatShrink -- Wavelet shrinkage using Stationary wavelet transform
% Usage
% [xh, table] = StatShrink(y, L, thrvec, qmf)
%
% Inputs
% y 1-d signal, Noisy Data, length(y)= 2^J
% L Low-Frequency cutoff for shrinkage
% thrvec vector containing thresholds to use at levels L thru J-1
% qmf Quadrature Mirror Filter for Wavelet Transform
%
% Outputs
% xh estimate, obtained by applying hard thresholding on
% stationary wavelet transform table
% table stationary wavelet transform table, after thresholding
%
% Description
% Translation invariant hard thresholding, using thresholds in thrvec
% Note: columns of the stationary wavelet transform table are in
% "reverse" order: columns 2:(D+1) == 2: J-L+1 correspond to
% resolution levels (J-1):L , thus: col 2 to level J-1,
% col 3 to level J-2 etc thru col D+1 to L.
% thrvec needs to be reversed to reflect this: this is done in thrwork
[n,J] = dyadlength(y);
D = J-L;
thrwork = reverse(thrvec);
TITable = FWT_TI(y,L,qmf);
for j=2:(D+1),
TITable(:,j) = HardThresh(TITable(:,j), thrwork(j-1) );
end
xh = IWT_TI( TITable, qmf);
table = TITable;
%% Part of Wavelab Version 850% Built Tue Jan 3 13:20:41 EST 2006% This is Copyrighted Material% For Copying permissions see COPYING.m% Comments? e-mail wavelab@stat.stanford.edu
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