📄 idealkern.m
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function [kx,kbx] = IdealKern(t,x,y,sa)
% IdealKern -- Estimate using Ideal Kernel
% Usage:
% [kx,kbx] = IdealKern(t,x,y,sa)
% Inputs:
% t,x True signal x and sample points t
% y,sa Noisy data and Noise Std. Deviation
% Outputs:
% kx Ideally-Fourier-Damped estimate of x using y
% and knowledge of x
% kbx Its Fourier transform
% Side Effects:
% plot of ideal reconstruction and truth (commented out)
by = fft(y);
bx = fft(x);
n = length(x);
wt = idealwts(abs(bx),sqrt(n)*sa);
(sum(wt)*(sa^2))/(n) %per coordinate risk
kbx = wt .* by;
kx = real(ifft(kbx));
%% 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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