Almost minimax design of FIR filter using an IRLS algorithm without matrix inversion

• Main Authors: Zhao, Ruijie, Lin, Zhiping, Toh, Kar-Ann, Sun, Lei, Lai, Xiaoping
• Other Authors: Jiang, Xudong
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: FIR Filter; DRNTU::Science::Biological sciences; Conjugate Gradient Method
• Online Access: https://hdl.handle.net/10356/102533; http://hdl.handle.net/10220/47263
• Institution: Nanyang Technological University

An iterative reweighted least squares (IRLS) algorithm is presented in this paper for the minimax design of FIR filters. In the algorithm, the resulted subproblems generated by the weighted least squares (WLS) are solved by using the conjugate gradient (CG) method instead of the time-consuming matri...