An Algorithm for Balanced Approximation and Model Reduction of 2-D Separable-in-Denominator Filters

被引：0
|
作者：
Dali Wang
Ali Zilouchian
Ying Bai
机构：
[1] Christopher Newport University,Department of Physics, Computer Science & Engineering
[2] Florida Atlantic University,Department of Electrical Engineering
[3] Johnson C. Smith University,Department of Computer Science & Engineering
来源：
Multidimensional Systems and Signal Processing | 2005年 / 16卷
关键词：
Artificial Intelligence; Frequency Domain; Model Reduction; Structure Approach; Digital Filter;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Model reduction of two-dimensional (2-D) Separable-in-Denominator Digital Filters (SDDF) using frequency domain balanced realization is proposed. The frequency domain controllability and observability Grammians are introduced and their appropriate Lyapunov equations are developed. The approach could be viewed as the generalization of the existing balanced structure approach in a specific frequency range of operation. Various properties of the proposed frequency domain balanced structure are investigated. A comparison study of the proposed method with the available techniques is presented using numerical examples
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页码：439 / 461
页数：22
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