📄 idealwave.m
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function [hx,hbx] = IdealWave(t,x,y,sa,L,qmf)
% IdealWave -- Estimate using Ideal Wavelet Damping
% Usage:
% [hx,hbx] = IdealWave(t,x,y,sa,L,qmf)
% Inputs:
% t,x True signal x and sample points t
% y,sa Noisy data and Noise Level
% L base-frequency level
% qmf Mirror Filters (see e.g. DaubechiesTables)
% Outputs:
% hx Ideally-Wavelet-Damped estimate of x using y
% and knowledge of x
% hbx Its wavelet transform
% Side Effects:
% plot of ideal reconstruction and truth (commented out)
by = FWT_PO(y,L,qmf);
bx = FWT_PO(x,L,qmf);
wt = idealwts(bx,sa);
wt(1:(2^(L))) = ones(1,2^(L));
sum(wt).*(sa^2)./length(t) %per coordinate risk
hbx = wt .* by;
hx = IWT_PO(hbx,L,qmf);
%clf; subplot(211)
%plot(t,x); title('Truth')
%plot(t,hx); title('Ideal Wavelet Recovery')
%% 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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