Steady-state mean-square error analysis of regularized normalized subband adaptive filters

被引：26
|
作者：
Ni, Jingen [1 ]
Chen, Xiaoping [1 ]
机构：
[1] Soochow Univ, Sch Elect & Informat Engn, Suzhou 215006, Peoples R China
来源：
SIGNAL PROCESSING | 2013年 / 93卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Mean-square error; Normalized subband adaptive filter; Regularization; ALGORITHM; DEVIATION;
D O I：
10.1016/j.sigpro.2013.03.030
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The normalized subband adaptive filter (NSAF) has faster convergence rate than the normalized least-mean-square (NLMS) algorithm for colored input signals. Regularization of the NSAF is of importance in practical applications. In this paper, we analyze the steady-state mean-square error (MSE) of regularized NSAFs. The analysis is carried out based on the derivation of a variable regularization matrix NSAF (VRM-NSAF). Theoretical expressions for the steady-state MSE of two regularized NSAFs are derived under some assumptions. Simulation results are given to support the theoretical analysis. (c) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：2648 / 2652
页数：5
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