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A compound near-far end least square-fourth error minimization foradaptive echo cancellation

Zerguine, A. and Cowan, C.F.N. and Bettayeb, M. (1996) A compound near-far end least square-fourth error minimization foradaptive echo cancellation. Signals, Systems and Computers, 1996. 1996 Conference Record of the Thirtieth Asilomar conference, 1.

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Abstract

This article presents a novel algorithm for echo cancellers with near-end and far-end sections. The algorithm consists of simultaneously applying the least mean square (LMS) algorithm to the near-end section of the echo canceller and the least mean fourth (LMF) algorithm to the far-end section. This combination results in a substantial improvement of the performance of the proposed scheme over the LMS algorithm in Gaussian and non-Gaussian environments (additive noise). However, the application of the LMF and the LMS algorithms to the near-end and the far-end sections, respectively, results in a poor performance. Simulation results, confirm the superior performance of the new algorithm



Item Type:Article
Date:November 1996
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Zerguine, A. and Cowan, C.F.N. and Bettayeb, M.
ID Code:14317
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:31
Last Modified:12 Apr 2011 13:15

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