State-Space Approaches for Model Reduction of FIR Digital Filters

摘要：

In this paper, we review and compare three statespace methods for approximating a FIR digital filter by a reduced order IIR digital filter. The methods include the impulse-response gramians, the balanced model truncation, and the weighted least-squares approximation. The design steps for each of these methods and their results on three filter examples are presented. Results indicate that the performances of the balanced model truncation and the weighted leastsquare approximation are similar except the latter requires more computation; and both methods are able to yield better designs than those of the impulse-response gramians.

作者: Hon Keung Kwan Fang Wang

作者单位: Department of Electrical & Computer Engineering University of Windsor Windsor, Ontario, Canada N9B 3P4

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 216-221

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）