标题:A matrix-based IRLS algorithm for the least lp -norm design of 2-D FIR filters
作者:Zhao, Ruijie ;Lai, Xiaoping ;Hong, Xiaoying ;Lin, Zhiping
作者机构:[Zhao, Ruijie ;Hong, Xiaoying ] School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai; 264209, China;[Lai, Xiaopin 更多
通讯作者:Lin, Zhiping
来源:Multidimensional Systems and Signal Processing
出版年:2019
卷:30
期:1
DOI:10.1007/s11045-017-0543-3
摘要:Fast design of two-dimensional FIR filters in the least lp-norm sense is investigated in this brief. The design problem is first formulated in a matrix form and then solved by a matrix-based iterative reweighted least squares algorithm. The proposed algorithm includes two loops: one for updating the weighting function and the other for solving the weighted least squares (WLS) subproblems. These WLS subproblems are solved using an efficient matrix-based WLS algorithm, which is an iterative procedure with its initial iterative matrix being the solution matrix in the last iteration, resulting in a considerable CPU-time saving. Through analysis, the new algorithm is shown to have a lower complexity than existing methods. Three design examples are provided to illustrate the high computational efficiency and design precision of the proposed algorithm.
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收录类别:EI
资源类型:期刊论文
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