DocumentCode :
1842505
Title :
Minimax IIR digital filter design using SOCP
Author :
Jiang, Aimin ; Kwan, Hon Keung
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON
fYear :
2008
fDate :
18-21 May 2008
Firstpage :
2454
Lastpage :
2457
Abstract :
An iterative second-order cone programming (SOCP) approach is proposed in this paper. The original nonconvex design problem is first relaxed into an SOCP problem, which can provide a lower bound on the optimal value of the original problem. For reducing the gap between the original and the convex problem, an iterative procedure is developed. The initial point of the iterative procedure can be chosen as the solution obtained from the relaxed SOCP problem. Unlike other iterative approaches, the convergence of the proposed iterative procedure is definitely guaranteed. Design examples demonstrate the effectiveness of the proposed method.
Keywords :
IIR filters; iterative methods; minimax techniques; SOCP; convex problem; iterative procedure; iterative second-order cone programming; minimax IIR digital filter design; Constraint optimization; Design optimization; Digital filters; Frequency response; Iterative methods; Linear programming; Minimax techniques; Quadratic programming; Stability criteria; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1683-7
Electronic_ISBN :
978-1-4244-1684-4
Type :
conf
DOI :
10.1109/ISCAS.2008.4541952
Filename :
4541952
Link To Document :
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