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From: saswss@hotellng.unx.sas.com (Warren Sarle)
Subject: Re: wavelets and NN
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Date: Thu, 15 Sep 1994 17:57:36 GMT
References:  <35987j$r4n@kodak.rdcs.Kodak.COM>
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Organization: SAS Institute Inc.
Keywords: wavelets, associative memory
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In article <35987j$r4n@kodak.rdcs.Kodak.COM>, martin@belteshazzar.Kodak.COM (Craig Martin) writes:
|> ...
|> My problem is that I cannot seem to generate good, distinct, feature
|> vectors using the wavelet (DAUB4 as shown in numerical recipes).  My
|> approach has been to parse the vowel from the beginning of each sound
|> into a 1024 byte buffer, normalize the data, feed it into the wavelet
|> algorithm, and then add up the coefficients in each section of the
|> resulting wavelet transform (first 2, second 2, next 4, next 8...etc).
|> There is some similarity in the summed coefficients for a given sound
|> spoken by different people, but not enough to give me distinct feature
|> vectors for a given sound.

Masters has a section on wavelets that might help:

   Masters, T. (1994), _Signal and Image Processing with Neural
   Networks: A C++ Sourcebook_, Wiley.


-- 

Warren S. Sarle       SAS Institute Inc.   The opinions expressed here
saswss@unx.sas.com    SAS Campus Drive     are mine and not necessarily
(919) 677-8000        Cary, NC 27513, USA  those of SAS Institute.
