<josef.p...@gmail.com> wrote: <ahref="https://github.com/scipy/scipy/blob/e758c482efb8829685dcf494bdf71eeca3dd77f0/scipy/signal/signaltools.py#L13";>https://github.com/scipy/scipy/blob/e758c482efb8829685dcf494bdf71eeca3dd77f0/scipy/signal/signaltools.py#L13</a> > doesn't seem to mind mixing numpy and scipy (quick github search)
I believe it is because NumPy's FFTs (beginning with 1.9.0) are thread-safe. But FFTs from numpy.fft and scipy.fftpack should be rather similar in performance. (Except if you use Enthought, in which case the former is much faster.) It seems from the code that fftconvolve does not use overlap-add or overlap-save. I seem to remember that it did before, but I might be wrong. Personally I prefer to use overlap-add instead of a very long FFT. There is also a scipy.fftpack.convolve module. I have not used it though. Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
