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

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.

关键词： constrained minimax approximation FIR filter sequential constrained least-squares method nonlinear phase

作者: Shaowei Zhang Dong Xu Xiaoping Lai

作者单位: School of information engineering, Shandong University at Weihai, Weihai China Institute of information and control, Hangzhou Dianzi University, Hangzhou, 310018 China Institute of information and control, Hangzhou Dianzi University, Hangzhou, 310018 China School of i

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 99-102

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）