?? hybridthresh.m
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function xhat = HybridThresh(y)
% HybridThresh -- Adaptive Threshold Selection Using Principle of SURE
% Usage
% xhat = HybridThresh(y)
% Inputs
% y Noisy Data with Std. Deviation = 1
% Outputs
% xhat Estimate of mean vector
%
% Description
% SURE refers to Stein's Unbiased Risk Estimate.
%
% References
% ``Adapting to Unknown Smoothness by Wavelet Shrinkage''
% by D.L. Donoho and I.M. Johnstone.
%
[n,J] = dyadlength(y);
magic = sqrt(2*log(n));
eta = (norm(y).^2 - n)/n;
crit = J^(1.5)/sqrt(n);
if eta < crit
xhat = SoftThresh(y,magic);
else
T = min(ValSUREThresh(y), magic);
xhat = SoftThresh(y ,T);
end
%
% Copyright (c) 1993-5. Jonathan Buckheit, David Donoho and Iain Johnstone
%
%% Part of Wavelab Version 850% Built Tue Jan 3 13:20:39 EST 2006% This is Copyrighted Material% For Copying permissions see COPYING.m% Comments? e-mail wavelab@stat.stanford.edu
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