DocumentCode
932349
Title
Constrained Chebyshev design of FIR filters
Author
Lai, Xiaoping
Author_Institution
Dept. of Inf. Sci. & Control Eng., Shandong Univ., Weihai, China
Volume
51
Issue
3
fYear
2004
fDate
3/1/2004 12:00:00 AM
Firstpage
143
Lastpage
146
Abstract
In many filter-design problems, additional constraints are often imposed on the optimal filter in the sense of, say, minimal Chebyshev error norm. Based on the characteristic properties of the optimal filter for the Chebyshev design with frequency equation constraints, a modified Remez (MRemez) algorithm is proposed in this paper. The central problem of this paper is the constrained Chebyshev design of finite-impulse response filters with equation and inequality constraints in the frequency domain. By converting the problem into a series of Chebyshev design problems with equation constraints, an iterative MRemez algorithm which uses the MRemez algorithm as the computational core of the iteration is proposed, and the convergence of the algorithm is obtained. Design examples demonstrate the effectiveness and the fast convergence of the MRemez algorithm and the iterative MRemez algorithm.
Keywords
Chebyshev filters; FIR filters; iterative methods; linear phase filters; Chebyshev design; FIR filter design; algorithm convergence; extremal frequencies; filter-design problems; finite-impulse response filters; frequency domain; frequency equation constraints; inequality constraints; iterative MRemez algorithm; minimal Chebyshev error norm; modified Remez algorithm; Algorithm design and analysis; Chebyshev approximation; Convergence; Digital filters; Equations; Finite impulse response filter; Frequency domain analysis; Iterative algorithms; Nonlinear filters; Signal processing algorithms;
fLanguage
English
Journal_Title
Circuits and Systems II: Express Briefs, IEEE Transactions on
Publisher
ieee
ISSN
1549-7747
Type
jour
DOI
10.1109/TCSII.2003.821523
Filename
1275623
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