Some suggest that it might be a zero-padding issue; for FFT we can pad the end of the vector with zeros. but for IFFT we should add zeros in the middle of the matrix. I tried that as well but doesn't seem to work for me..
"nerdynerd" wrote in message <firstname.lastname@example.org>... > Hi, I have a real-valued function in frequency domain and I'm trying to IFFT to get the signal in time domain and then FFT back to frequency domain. However, I'm unable to get back the original signal. The first step IFFT gives me the correct function but FFT'ing it does not give the original signal. Any ideas what I'm doing wrong? > here's my code: > > fsam=-10:0.1:10; % frequency vector > test_func=exp(-fsam.^2); % test-function > > fsamp=fsam(1)-fsam(2); % \Delta_frequency > nfft=2^12; > r0=length(test_func); > dt=1/fsamp; > > x = ifft(ifftshift(test_func),nfft); % DFT of signal > g = (-nfft/2:nfft/2-1)*(1/(fsamp*nfft)); % Time range > q = ifftshift(x); > > dg=g(1)-g(2); > y = fft(fftshift((q)),nfft); > w = (-nfft/2:nfft/2-1)*(2*dg); %Frequency range; also tried "fsamp" instead of "2*dg" > s = fftshift(y); > > figure > subplot(2,1,1) > plot(fsam,testfunc) %original signal > hold on > plot(w,real(s),'r') %signal after IFFT and FFT > hold off > > subplot(2,1,2) > plot(g,real(q)) %real part of the signal after IFFT > hold on > plot(g,imag(q),'r') %imaginary part of the signal after IFFT > hold off