I still have the plan to add this function as public api to numpy's fft helper functions, though I didn't get to it yet. Its a relative simple task if someone wants to contribute.
On 24.12.2014 04:33, Robert McGibbon wrote: > 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] <mailto:[email protected]>> wrote: > > > > On Tue, Dec 23, 2014 at 7:32 PM, Robert McGibbon <[email protected] > <mailto:[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] <mailto:[email protected]> > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
