Hi Stefan et al.
What about wavelets?
Maybe wavelet toolbox? I am not so familiar with it - which wavelet
function can do the per octave smoothing I ask for?
/Claus
On 04-Jun-14 21:17, Stefan Du Rietz wrote:
On 2014-06-04 21:09, Claus Futtrup wrote:
Hi there
I have generated some 60 seconds of (pink) noise, sampled at 48 kHz,
which I can fft to get a linear-frequency representation
(predominantly interested in 20 - 20k Hz).
If I plot this data on a log-frequency plot, then of course high
frequency spectrum plots look very noisy.
I need a fixed-point-per-octave (FPPO) transformation of my data so I
can study the spectrum better at higher frequencies with a more
readable trace of my frequency response data. I would be interested in
for example a 1/3 octave moving-average smoothing.
In effect, the FPPO technique utilizes a measurement time window that
varies as a function of frequency, utilizing a long time window at low
frequencies (for narrow frequency resolution) and a successively
shorter time window at high frequencies (but averaged through the
entire 60 seconds).
Is FPPO available in Scilab? (Signal Processing Toolbox maybe?) ... I
cannot find it.
/Claus
P.S. You could see this PDF file for some pictures (go to page 6,
Figure 4):
http://www.rationalacoustics.com/files/FFT_Fundamentals.pdf
What about wavelets?
Stefan
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