标题：An Iterative Reweighted Minimax Algorithm for the Design of FRM-based Two-channel QMF Banks
作者：Zhao, Ruijie; Lai, Xiaoping; Lin, Zhiping
通讯作者：Zhao, RJ;Zhao, RJ
作者机构：[Zhao, Ruijie] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai, Peoples R China.; [Lai, Xiaoping] Hangzhou Dianzi Univ, Inst Informat & Contro 更多
会议名称：IEEE International Symposium on Circuits and Systems (ISCAS)
会议日期：MAY 27-30, 2018
来源：2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
摘要：The optimal design of two-channel FIR quadrature mirror filter (QMF) banks based on the Frequency-Response-Masking (FRM) technique is studied in this paper. An iterative algorithm is proposed to design a prototype filter. In each iteration of the algorithm, the prototype filter is optimized in the constrained weighted minimax sense with the weighting function being updated for reducing the reconstruction error of the filter banks. Further, we give an alternating variable approach to solving these constrained weighted minimax design problems of FRM filters. Specifically, it converts the nonlinear best approximation problem into a series of linear best approximation subproblems and solves each one using an efficient Goldfarb-Idnani based algorithm. The proposed filter banks have lower overall arithmetic complexity compared with the conventional ones. An example is presented and the simulation results show the proposed method performs better than an existing method.