Least squares optimization of 2-D IIR filters

被引：0
|
作者：
Dumitrescu, B [1 ]
机构：
[1] Tampere Univ Technol, Inst Signal Proc, Tampere Int Ctr Signal Proc, FIN-33101 Tampere, Finland
来源：
NORSIG 2004: PROCEEDINGS OF THE 6TH NORDIC SIGNAL PROCESSING SYMPOSIUM | 2004年 / 46卷
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present an algorithm for the least squares optimization of 2-D IIR filters with separable or nonseparable denominator The algorithm is iterative and each iteration consists of solving a semidefinite programming problem. We adapt the Gauss-Newton idea which outcomes to a convex approximation of the optimization criterion. The stability of the 2-D IIR filters is ensured by keeping the denominator inside convex stability domains, defined by linear matrix inequalities. In the experimental section, 2-D IIR filters with separable and nonseparable denominator are designed and compared.
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页码：33 / 36
页数：4
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