标题:Minimax Design of Nonlinear-Phase FIR Filters with Prescribed Phase Error Using an SCLS Method
作者:Zhang, Shaowei; Xu, Dong; Lai, Xiaoping
通讯作者:Zhang, SW
作者机构:[Xu, Dong; Lai, Xiaoping] Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Zhejiang, Peoples R China.; [Zhang, Shaowei; Lai, Xiaoping 更多
会议名称:IEEE 10th International Conference on Signal Processing
会议日期:OCT 24-28, 2010
来源:2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III
出版年:2010
页码:99-+
DOI:10.1109/ICFTE.2010.5499416
关键词:constrained minimax approximation; FIR filter; sequential constrained; least-squares method; nonlinear phase
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.
收录类别:CPCI-S
资源类型:会议论文
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