A nonparametric VSSNLMS algorithm

被引：306

作者：

Benesty, Jacob ^{[1
]}

Rey, Hernan

Vega, Leonardo Rey

Tressens, Sara

机构：

[1] Univ Quebec, INRS, EMT, Montreal, PQ H5A 1K6, Canada

[2] Univ Buenos Aires, Fac Ingn, Buenos Aires, DF, Argentina

来源：

IEEE SIGNAL PROCESSING LETTERS | 2006年 / 13卷 / 10期

关键词：

acoustic echo cancellation; adaptive filters; least mean square (LMS); normalized LMS (NLMS); variable step size NLMS;

D O I：

10.1109/LSP.2006.876323

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 aim of a variable step size normalized least-mean-square (VSS-NLMS) algorithm is to try to solve the conflicting requirement of fast convergence and low misadjustment of the NLMS algorithm. Numerous VSS-NLMS algorithms can be found in the literature with a common point for most of them: they may not work very reliably since they depend on several parameters that are not simple to tune in practice. The objective of this letter is twofold. First, we explain a simple and elegant way to derive VSS-NLMS-type algorithms. Second, a new nonparametric VSS-NLMS is proposed, that is easy to control and gives good performances in the context of acoustic echo cancellation.

引用

页码：581 / 584

页数：4

共 16 条

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