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] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China.; [Zhao, Ruijie; Lin, Zhiping] Nanyang 更多
通讯作者:Lin, ZP
通讯作者地址:[Lin, ZP]Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore.
来源:MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
出版年:2019
卷:30
期:1
页码:1-15
DOI:10.1007/s11045-017-0543-3
关键词:2-D FIR filter; Least lp-norm design; Matrix-based algorithm; Iterative; reweighted least squares algorithm
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.
收录类别:SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038093137&doi=10.1007%2fs11045-017-0543-3&partnerID=40&md5=28b0c522975d749273758492dff74ca5
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