Model reduction of 2-D separable-denominator transfer functions via quasi-Kalman decomposition.

被引：0
|
作者：
Diab, M
Sreeram, V
Liu, WQ
机构：
来源：
ISCAS '97 - PROCEEDINGS OF 1997 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS I - IV: CIRCUITS AND SYSTEMS IN THE INFORMATION AGE | 1997年
关键词：
digital filters; linear systems; model reduction;
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：
In this paper a model reduction algorithm for casual recursive separable denominator (CRSD) 2-D digital systems is proposed. The algorithm is based on the quasi-Kalman decomposition (QKD) method developed in [2] for 1-D systems. The proposed algorithm employs singular value decomposition of the horizontal and vertical This leads to producing two sets of finite Gramians where in each set the finite Gramians are equal and diagonal. An example is given in order to illustrate the method.
引用
收藏
页码：1680 / 1683
页数：4
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