Least Total Squared Error Design of 2-D MINIMAX FIR Filters

摘要：

The minimax Design of 2-D (two-dimensional) FIR Filters is not necessarily unique since the Haar condition is not generally satisfied. In order to obtain a unique solution, we introduce some additional constraints to the minimax design. This paper presents least total squared error design of 2-D minimax FIR Filters which is always unique. This unique minimax solution can be obtained by using a quadratic programming with the primal-dual algorithm. Design examples and comparison with existing methods are provided to demonstrate the effectiveness and efficiency of the proposed method. The resulted filter is not only a minimax filter but also has least total squared error among minimax filters.

作者: Aiwen Che Xiaoping Lai

作者单位: Institute of Information and control, Hangzhou Dianzi University, Hangzhou, 310018 China School of Mechanical and Electrical Engineering, Shandong University at Weihai, Weihai,264209 China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 1432-1435

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）