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From: steele@en.ecn.purdue.edu@en.ecn.purdue.edu (Richard A. Steele)
Newsgroups: comp.dsp
Subject: Kaiser Window Design (was Digital Filters)
Message-ID: <1990Nov17.210143.20703@en.ecn.purdue.edu>
Date: 17 Nov 90 21:01:43 GMT
References: <1990Nov15.121559.11290@watserv1.waterloo.edu> <9360014@hplsla.HP.COM>
Organization: Purdue University
Lines: 31

In article <9360014@hplsla.HP.COM> bryanh@hplsla.HP.COM (Bryan Hoog) writes:
>
>   In a college DSP class (YEARS ago!), we used this method, and, then
> (I think; this is where my memory gets hazy) we weighted the resulting
> coefficients with a Hamming window.  I remember the teacher saying
> something like "A Hamming window usually works best", but couldn't explain
> what was so "magic" about the Hamming window for FIR filter design.
>
>   -Bryan

I've done something similar, except with a Kaiser window instead
of the Hamming; the effect is similar, as both methods are
quite easy to do.

See, for example, Oppenheim and Schafer "Discrete Time Signal
Processing" pages 444-462.

I believe the Parks-McClellan algorithm is more optimal, but it
is more difficult to implement (I think; my memory is fuzzing).

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