I apology for this off topic question: I have a 2D FT of size N x N, and I would like to reconstruct the original signal with a lower sampling frequency directly (without using an interpolation procedure): Given M < N the goal is to compute a M x M "time domain" signal.
In the case of 1D signal the trick is simple --- given a length N freq. domain Sig: sig = np.fft.ifft(Sig, M) This trick does not work in 2D: sig = np.fft.ifft2(Sig, (M,M)) is far from being the right answer. Any ideas? _______________________________________________ Numpy-discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
