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

(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
Subjects: Computer
Department: College of Engineering and Physics > Electrical Engineering
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 13:31
Last Modified: 01 Nov 2019 14:05
URI: https://eprints.kfupm.edu.sa/id/eprint/14317