Leaky LMS algorithm: MSE analysis for Gaussian data

被引：73

作者：

Mayyas, K ^{[1
]}

Aboulnasr, T ^{[1
]}

机构：

[1] UNIV OTTAWA,DEPT ELECT ENGN,OTTAWA,ON K1N 6N5,CANADA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1997年 / 45卷 / 04期

关键词：

D O I：

10.1109/78.564181

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：

Despite the widespread usage of the leaky LMS algorithm, there has been no detailed study of its performance, This paper presents an analytical treatment of the mean-square error (MSE) performance for the leaky LMS adaptive algorithm for Gaussian input data, The common independence assumption regarding W(n) and X(n) is also used. Exact expressions that completely characterize the second moment of the coefficient vector and algorithm steady-state excess MSE are developed, Rigorous conditions for MSE convergence are also established. Analytical results are compared with simulation and are shown to agree well.

引用

页码：927 / 934

页数：8

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