Hi Chris, If you have MxN and PxQ signals, you must pad them to shape M+P-1 x N+Q-1, in order to prevent circular convolution (i.e. values on the one end sliding back in at the other).
Regards Stéfan 2009/5/11 Chris Colbert <sccolb...@gmail.com>: > Stefan, > > Did I pad my example incorrectly? Both images were upped to the larger > nearest power of 2 (256)... > > Does the scipy implementation do this differently? I thought that since FFTW > support has been dropped, that scipy and numpy use the same routines... > > Thanks! > > Chris _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
