?? multibayes2.m
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function ws = MultiBayes2(wc,L)
%
%%%%%%%%%%%%%%%It's my own function!!!!!
%
% MultiBayes2 -- Apply Shrinkage to Wavelet Coefficients 2-d
% Usage
% ws = MultiBayes(wc,L)
% Inputs
% wc 2-d Wavelet Transform of noisy sequence with N(0,1) noise
% L low-frequency cutoff for Wavelet Transform
% Outputs
% ws result of applying BayesThresh to each dyadic block
%
[n,J] = dyadlength(wc);
ws = wc;
for j=(J-1):-1:L
[t1,t2]=dyad2HH(j);
ws(t1,t2)=BayesThresh2(wc(t1,t2));
[t1,t2]=dyad2HL(j);
ws(t1,t2)=BayesThresh2(wc(t1,t2));
[t1,t2]=dyad2LH(j);
ws(t1,t2)=BayesThresh2(wc(t1,t2));
end
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