An efficient quasi LMS/Newton adaptive algorithm for stereophonic acoustic echo cancellation

Mehdi Bekrani*, Mojtaba Lotfizad, Andy W.H. Khong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper an efficient quasi LMS/Newton adaptive algorithm is proposed for stereophonic acoustic echo cancellation. This method employs an efficient pseudo-diagonalization approach to the estimated joint-input correlation matrix with an emphasis on reducing its high cross-correlation components. We derive an estimate of the inverse joint-input correlation matrix by means of this pseudo-diagonalization method. Simulation results show the improvement in convergence performance of this algorithm compared to the nonlinear RLS and nonlinear NLMS adaptive algorithms.

Original languageEnglish
Title of host publicationProceedings of the 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010
Pages684-687
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 - Kuala Lumpur, Malaysia
Duration: Dec 6 2010Dec 9 2010

Publication series

NameIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Conference

Conference2010 Asia Pacific Conference on Circuit and System, APCCAS 2010
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/6/1012/9/10

ASJC Scopus Subject Areas

  • Electrical and Electronic Engineering

Keywords

  • adaptive algorithm
  • correlation matrix
  • MIMO network
  • stereophonic acoustic echo cancellation

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