A fast convergence algorithm for L2-sensitivity minimization of 2-D separable-denominator state-space digital filters

被引：3
|
作者：
Yamaki, Shunsuke [1 ]
Abe, Masahide [1 ]
Kawamata, Masayuki [1 ]
机构：
[1] Tohoku Univ, Grad Sch Engn, Dept Elect Engn, Aoba Ku, Sendai, Miyagi 9808579, Japan
来源：
2007 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11 | 2007年
关键词：
D O I：
10.1109/ISCAS.2007.378524
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a fast convergence algorithm for L-2-sensitivity minimization problem of two-dimensional (2-D) separable-denominator state-space digital filters subject to L-2-scaling constraints. The proposed algorithm reduces a constrained optimization problem to an unconstrained optimization problem by appropriate variable transformation, and minimizes the L-2-sensitivity by iterative calculation called successive substitution method. Our novel algorithm can achieve the L-2-sensitivity minimization with quite fast convergence behavior.
引用
收藏
页码：2722 / 2725
页数：4
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