Alex Griffing pointed out on github that this feature was recently added to scipy in https://github.com/scipy/scipy/pull/3144. Sweet!
-Robert On Tue, Dec 23, 2014 at 6:47 PM, Charles R Harris <[email protected] > wrote: > > > On Tue, Dec 23, 2014 at 7:32 PM, Robert McGibbon <[email protected]> > wrote: > >> Hey, >> >> The performance of fftpack depends very strongly on the array size -- >> sizes that are powers of two are good, but also powers of three, five and >> seven, or numbers whose only prime factors are from (2,3,5,7). For problems >> that can use padding, rounding up the size (using np.fft.fft(x, >> n=size_with_padding)) to one of these multiples makes a big difference. >> >> Some other packages expose a function for calculating the next fast size, >> e.g: http://ltfat.sourceforge.net/notes/ltfatnote017.pdf. >> >> Is there anything like this in numpy/scipy? If not, would this be a >> reasonable feature to add? >> >> > It would be nice to have, but an integrated system would combine it with > padding and windowing. Might be worth putting together a package, somewhat > like seaborn for plotting, that provides a nicer interface to the fft > module. Tracking downsampling/upsampling and units would also be useful. I > don't know if anyone has done something like that already... > > Chuck > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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