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.
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
|Divisions:||College Of Engineering Sciences > Electrical Engineering Dept|
|Creators:||Zerguine, A. and Cowan, C.F.N. and Bettayeb, M.|
|Deposited By:||KFUPM ePrints Admin|
|Deposited On:||24 Jun 2008 16:31|
|Last Modified:||12 Apr 2011 13:15|
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