On Tue, Dec 23, 2014 at 7:32 PM, Robert McGibbon <rmcgi...@gmail.com> 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
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