Re: gamnitude range of a cepstrum

I suppose another solution might be to take a mean or median or stddev
of
the cepstrum and ignore peaks that did not differ by much. But again, I
need to quantify "much". Also I feel like I'm just making this up. :)

This may be naive, but it seems like the magnitude of the cepstrum
should
be relative to the numbers use in the input signal, no?


This is exactly what I suggested above.. (Ignore the teaser in the first
paragraph. I couldn't hold back on the joke, sorry. Did anyone get it?)
CFAR-detection is used to detect peaks in a noisy environment, and it
uses
the variance of the noise to see what is significantly larger.
Estimating
the noise variance may be tricky, but there are moving average and/or
order
selection methods which work well in practice.

Emre


Heh, sorry I was being dense. I have implemented this:

1) Find a peak I'm interested in.
2) Find average of X surrounding bins, excluding the two adjacent.
3) Disregard peak if not greater than the average times 5.

This seems to work ok. The only question I have is, how many surrounding
bins should I include in the average? I have tried 10 to the whole window,
but I'm not sure what is better.
.

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