Design of staple 2-D IIR digital filters using iterative semidefinite programming

被引：0

作者：

Lu, WS ^{[1
]}

机构：

[1] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC V8W 3P6, Canada

来源：

ISCAS 2000: IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS - PROCEEDINGS, VOL I: EMERGING TECHNOLOGIES FOR THE 21ST CENTURY | 2000年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Semidefinite programming (SDP) has recently attracted a great deal of research interest. Among other things, the optimization tool was proven to be applicable to design various types of FIR digital filters. This paper describes an attempt on extending the SDP approach to 2-D IIR filters. It is shown that a stable 2-D IIR filter design in the minimax sense can be formulated as an iterative SDP problem. Stability constraints are expressed as linear matrix inequalities which fit nicely into the SDP-based design setting. Unlike the I-D case, an alternating iteration scheme is used to deal with parameter nonlinearity encountered in the separable denominator polynomials. A design example is presented to illustrate the proposed method.

引用

页码：395 / 398

页数：4

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