Minimax Design of Nonlinear-Phase FIR Filters with Prescribed Phase Error Using an SCLS Method

被引：0

作者：

Zhang, Shaowei ^{[2
]}

Xu, Dong ^{[1
]}

Lai, Xiaoping ^{[1
,2
]}

机构：

[1] Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Zhejiang, Peoples R China

[2] Shandong Univ Weihai, Sch Informat Engn, Weihai, Peoples R China

来源：

2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III | 2010年

关键词：

constrained minimax approximation; FIR filter; sequential constrained least-squares method; nonlinear phase;

D O I：

10.1109/ICFTE.2010.5499416

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Minimax design of nonlinear-phase FIR filters with prescribed phase error is considered in this paper. By using a sequential constrained least-squares (SCLS) method, the minimax design is converted into a series of constrained least-squares problems, where the upper-bounds imposed on the frequency response (FR) error converge exponentially to the minimal value of the maximum FR error. Design examples demonstrate the effectiveness of the SCLS method. Comparisons of the performances of the filters designed by the SCLS and some other methods are provided.

引用

页码：99 / +

页数：2

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