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Write an m-file "myfourier.m" which takes two images, computes FFT, phase and amplitude and swaps the amplitudes between two images.
function myfourier im1=imread('cameraman.png'); imd1=double(im1); im2=imread('class_f.png'); imd2=double(im2); FI1=fft2(imd1); phase1=angle(FI1); amplitude1=abs(FI1); FI2=fft2(imd2); phase2=angle(FI2); amplitude2=abs(FI2); NFI1=amplitude1.*exp(i*phase1); NFI2=amplitude2.*exp(i*phase2); RI1=ifft2((NFI1)); RI2=ifft2((NFI2)); figure;imshow(real(RI1),[]); figure;imshow(real(RI2),[]); NFI1=amplitude1.*exp(i*phase2); NFI2=amplitude2.*exp(i*phase1); RI1=ifft2((NFI1)); RI2=ifft2((NFI2)); figure;imshow(real(RI1),[]); figure;imshow(real(RI2),[]);
What information is encoded in the amplitude and phase? How the change of phase and amplitude affects the transformed image?
Do you provide me matlab code for comparison the performance of decision feedback equalizer over MLSE
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