DocumentCode
830650
Title
On Chebyshev design of linear-phase FIR filters with frequency inequality constraints
Author
Lai, Xiaoping ; Zhao, Ruijie
Author_Institution
Sch. of Inf. Eng., Shandong Univ., Weihai, China
Volume
53
Issue
2
fYear
2006
Firstpage
120
Lastpage
124
Abstract
The alternation theorem is the basis of the Remez algorithm for unconstrained Chebyshev design of finite-impulse response (FIR) filters. In this paper, we extend the alternation theorem to the inequality-constrained case and present an improved Remez algorithm for the design of minimax FIR filters with inequality constraints in frequency domain. Compared with existing algorithms, the presented algorithm has faster convergence rate and guaranteed optimal solutions.
Keywords
Chebyshev filters; FIR filters; linear phase filters; Chebyshev design; Remez algorithm; frequency inequality constraints; linear-phase FIR filters; Algorithm design and analysis; Chebyshev approximation; Constraint theory; Finite impulse response filter; Frequency estimation; Frequency response; Iterative algorithms; MATLAB; Minimax techniques; Nonlinear filters; Alternation theorem; Remez algorithm; constrained Chebyshev design; finite-impulse response (FIR) filter;
fLanguage
English
Journal_Title
Circuits and Systems II: Express Briefs, IEEE Transactions on
Publisher
ieee
ISSN
1549-7747
Type
jour
DOI
10.1109/TCSII.2005.855733
Filename
1593968
Link To Document