DocumentCode :
1302794
Title :
A modified algorithm for constrained least square design of multiband FIR filters without specified transition bands
Author :
Selesnick, I.W. ; Lang, Michael ; Burrus, C.S.
Author_Institution :
Polytech. Univ., Brooklyn, NY
Volume :
46
Issue :
2
fYear :
1998
fDate :
2/1/1998 12:00:00 AM
Firstpage :
497
Lastpage :
501
Abstract :
In a previous paper, we described a constrained least square approach to FIR filter design that does not use “don´t care” regions. In that paper, we described a simple algorithm for the design of lowpass filters according to that approach. In this paper, we describe a modification of that algorithm that makes it converge for many multiband filter designs. Although no proof of convergence is given, the modified algorithm remains simple and converges rapidly in many cases. In this approach, the user supplies a lower and upper bound constraint that is exactly satisfied by the local minima and maxima of the frequency response amplitude. Yet, the constraints can be made as tight as desired-the transition band automatically adjusts (widens) to accommodate the constraints
Keywords :
FIR filters; convergence of numerical methods; filtering theory; frequency response; iterative methods; least squares approximations; FIR filter design; constrained least square design; convergence; digital filters; frequency response amplitude; local maxima; local minima; lower bound constraint; lowpass filters; modified algorithm; modified exchange iterations; multiband FIR filters; transition bands; upper bound constraint; Algorithm design and analysis; Band pass filters; Chebyshev approximation; Convergence; Digital filters; Finite impulse response filter; Frequency response; Interpolation; Least squares methods; Signal processing algorithms;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.655433
Filename :
655433
Link To Document :
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