We'd like to do what most call a "zoom FFT"; we only are interested in the frequencies of say, 6kHZ to 9kHz with a given N, and so the computations from DC to 6kHz are wasted CPU time. Can this be done without additional numpy pre-filtering computations?
If explicit filtering is needed to "baseband" the data, is it worth it? It sounds like we need to generate cosine data once for each band and N, then multiple with the data for each FFT. Has anyone coded this up before? I couldn't find any references other than http://www.dsprelated.com/showmessage/38917/1.php and http://www.numerix-dsp.com/siglib/examples/test_zft.c (which uses Numerix). Ray _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
