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📄 at_fhp.m

📁 A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learn
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% At_fhp.m%% Adjoint of At_fhp (2D Fourier half plane measurements).%% Usage: x = At_fhp(b, OMEGA, n)%% b - K vector = [mean; real part(OMEGA); imag part(OMEGA)]%% OMEGA - K/2-1 vector denoting which Fourier coefficients to use%         (the real and imag parts of each freq are kept).%% n - Image is nxn pixels%% x - N vector%% Written by: Justin Romberg, Caltech% Created: October 2005% Email: jrom@acm.caltech.edu%function x = At_fhp(y, OMEGA, n)K = length(y);fx = zeros(n,n);fx(1,1) = y(1);fx(OMEGA) = sqrt(2)*(y(2:(K+1)/2) + i*y((K+3)/2:K));x = reshape(real(n*ifft2(fx)), n*n, 1);

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