hmmph, I used both fftn and fft2, they both produce the same result. Is there a restriction on the dimension of the input? power of 2 or some such?
On 12/29/2011 07:21 AM, Torgil Svensson wrote: > This is because fft computes one-dimensional transforms (on each row). > Try fft2 instead. > > //Torgil > > > fft(a, n=None, axis=-1) > Compute the one-dimensional discrete Fourier Transform. > > fft2(a, s=None, axes=(-2, -1)) > Compute the 2-dimensional discrete Fourier Transform > > fftn(a, s=None, axes=None) > Compute the N-dimensional discrete Fourier Transform. > > > On Wed, Dec 28, 2011 at 10:05 PM, Burlen Loring<burlen.lor...@gmail.com> > wrote: >> Hi >> >> I have an image I need to do an fft on, I tried numpy.fft but results are >> not what I expected, and differ from matlab. >> >> My input image is a weird size, 5118x1279, I think numpy fft is not liking >> it. In >> numpy the fft appears to be computed multiple times and tiled across the >> output image. In other words the pattern I see in matlab fft is tiled >> repeatedly over numpy fft output. Any idea on what I'm doing wrong? >> >> you can see repeated pattern in the top panel of this image which also has >> the input in the bottom panel. >> http://old.nabble.com/file/p33047057/fft_uex.png fft_uex.png >> >> tx >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
