source file: mills2.txt Date: Sun, 15 Oct 1995 21:05:13 -0700 Subject: Adaptive FFT From: MMCK@delphi.com Brian says, >Because the discrete Fourier transform is cyclic and imposes an >infinite periodicity (both supersonic and subsonic) on your >spectrum, you must use a limited fixed sampling rate and >band-limit your input samples to avoid aliasing (that is, to >avoid the lowest supersonic and the highest subsonic frequency >bins from bleeding into your audible frequency bins and >contaminating them with inharmonic-sounding spurious garbage). >But once you fix your samling rate, you've thrown out all >information between samples. This assumes an invariant "time slice" analysis, where the transform is applied repetitively to a fixed number of data points. As I pointed out in a previous post, if you first apply time domain analysis to identify periodic sequences in the data, and then "slice" the data according to the results of this analysis, these considerations don't apply. It is not Fourier analysis that imposes the condition that "you must use a limited fixed sampling rate". Using a variable time slice does make it more difficult to use FFT's, and it does not solve the problem of aperiodic signals and strange attractors, etc, but it may help some by limiting the amount of extraneous data brought in by imposing an outside frequency on the analysis. Actually, the sampling frequency is another arbitrary frequency imposed on the signal. It might be possible to adaptively vary the sampling frequency as a function of the output of real time analysis, and thus minimize this effect also. Marion Received: from eartha.mills.edu [144.91.3.20] by vbv40.ezh.nl with SMTP-OpenVMS via TCP/IP; Mon, 16 Oct 1995 06:07 +0100 Received: from by eartha.mills.edu via SMTP (940816.SGI.8.6.9/930416.SGI) for id VAA01985; Sun, 15 Oct 1995 21:06:48 -0700 Date: Sun, 15 Oct 1995 21:06:48 -0700 Message-Id: <01HWHKU6U6CO9EDN4E@delphi.com> Errors-To: madole@ella.mills.edu Reply-To: tuning@eartha.mills.edu Originator: tuning@eartha.mills.edu Sender: tuning@eartha.mills.edu