Re: [Numpy-discussion] Zoom fft code
Hi Nadav I recall that you posted an implementation yourself a while ago! http://www.mail-archive.com/numpy-discussion@scipy.org/msg01812.html Regards Stéfan 2009/1/5 Nadav Horesh nad...@visionsense.com: I am looking for a zoom fft code. I found an old code by Paule Kinzle (a matlab code with a translation to numarray), but its 2D extension (czt1.py) looks buggy. Nadav. ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Zoom fft code
Thank you, I lost the code so thank you for finding it. In addition, chirp z transform is broader then zoom fft. There was someone on this list that was interested especially in zoom fft, so I was wondered if there is a code for it. Anyway, I can use my old code again. Nadav -הודעה מקורית- מאת: numpy-discussion-boun...@scipy.org בשם St?fan van der Walt נשלח: ב 05-ינואר-09 10:25 אל: Discussion of Numerical Python נושא: Re: [Numpy-discussion] Zoom fft code Hi Nadav I recall that you posted an implementation yourself a while ago! http://www.mail-archive.com/numpy-discussion@scipy.org/msg01812.html Regards St?fan 2009/1/5 Nadav Horesh nad...@visionsense.com: I am looking for a zoom fft code. I found an old code by Paule Kinzle (a matlab code with a translation to numarray), but its 2D extension (czt1.py) looks buggy. Nadav. ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion winmail.dat___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Zoom fft code
2009/1/5 Neal Becker ndbeck...@gmail.com: I was not aware that chirp-z transform can be used to efficiently compute DFT over a limited part of the spectrum. I could use this. Any references on this technique? The only reference I have is the one mentioned in the source: Rabiner, L.R., R.W. Schafer and C.M. Rader. The Chirp z-Transform Algorithm. IEEE Transactions on Audio and Electroacoustics, AU-17(2):86--92, 1969 The discrete z-transform, X(z_k) = \sum_{n=0}^{N-1} x_n z^{-n} is calculated at M points, z_k = AW^-k, k = 0,1,...,M-1. You can think of the z_k's as a spiral, where A controls the outside radius (starting frequency) and W the rate of inward spiralling. Regards Stéfan ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion