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RE: FFT - Spectrum Analyzer
From: |
Damian Harty |
Subject: |
RE: FFT - Spectrum Analyzer |
Date: |
Mon, 11 Jun 2012 14:13:46 +0000 |
> > Why would one perform a Fourier-based analysis on something so clearly
> > non-stationary as music? I think wavelets are the tool of choice.
> >
> There is short time FFT. FFT with buffer 0.1 second buffer length is
> often quite usable and still has 10Hz frequency resolution (more or less).
...but Fourier is predicated on the whole signal having the characteristics of
the observed portion. One can perform short duration transforms, I agree - but
this is typically done for ensemble averaging purposes, such as Welch's method.
Let me ask it another way: what question is answered by performing any kind of
Fourier analysis on music? Or perhaps yet another way: Could you compare
Shakespeare and Proust using Fourier-based methods on the spoken word?
Anyway, I suspect this is not what the Octave list is for, so I shall desist
after this!
Regards,
Damian Harty
Senior Research Fellow
Coventry University
+44(0)24 7688 8924
+44(0)7799 414832
- FFT - Spectrum Analyzer, Renato S. Yamane, 2012/06/09
- Re: FFT - Spectrum Analyzer, Sergei Steshenko, 2012/06/10
- Re: FFT - Spectrum Analyzer, Thomas D. Dean, 2012/06/10
- Re: FFT - Spectrum Analyzer, Markus Bergholz, 2012/06/10
- RE: FFT - Spectrum Analyzer, Damian Harty, 2012/06/11
- Re: FFT - Spectrum Analyzer, Juan Pablo Carbajal, 2012/06/11
- Re: FFT - Spectrum Analyzer, Sergei Steshenko, 2012/06/11
- RE: FFT - Spectrum Analyzer,
Damian Harty <=
- Re: FFT - Spectrum Analyzer, Francesco Potortì, 2012/06/11
- Re: FFT - Spectrum Analyzer, Robert T. Short, 2012/06/11
- Re: FFT - Spectrum Analyzer, Sergei Steshenko, 2012/06/11
Re: FFT - Spectrum Analyzer, Peter, 2012/06/11