Rapid frequency-domain adaptation of causal FIR filters

作     者：Elliott, SJ Rafaely, B 

作者机构：Institute of Sound and Vibration Research University of Southampton Southampton UK 

出 版 物：《IEEE SIGNAL PROCESSING LETTERS》 (IEEE Signal Process Lett)

年 卷 期：1997年第4卷第12期

页      面：337-339页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

主　　题：adaptive filtering frequency-domain implementation LMS algorithm spectral factorization 

摘      要：Normalizing the convergence coefficient of the block frequency-domain least mean square (LMS) algorithm in each frequency bin can improve the convergence rate, but in some applications can lead to a biased steady-state solution if the filter is constrained to be strictly causal. An algorithm is presented in which the spectral factors of the bin-normalized convergence coefficient are used before and after the causality constraint is applied in the adaptation algorithm, which converges rapidly to the optimal causal filter.