A Nonparametric VSS NLMS Algorithm

Author

Benesty, Jacob ; Rey, Hernán ; Vega, Leonardo Rey ; Tressens, Sara

Author_Institution

INRS-EMT, Quebec Univ., Montreal, Que.

Volume

13

Issue

10

fYear

2006

Firstpage

581

Lastpage

584

Abstract

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

Keywords

acoustic signal processing; convergence of numerical methods; echo; echo suppression; least mean squares methods; acoustic echo cancellation; fast convergence; nonparametric VSS NLMS algorithm; normalized least-mean-square; variable step size; Adaptive filters; Convergence; Echo cancellers; Least squares approximation; Noise cancellation; Signal processing; Signal processing algorithms; Size control; Stability; Variable structure systems; Acoustic echo cancellation; adaptive filters; least mean square (LMS); normalized LMS (NLMS); variable step size NLMS;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2006.876323

Filename

1703532