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Convergence behavior of the normalized least mean fourth algorithm

Zerguine, A. (2000) Convergence behavior of the normalized least mean fourth algorithm. Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar conference, 1.

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Abstract

The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. Sufficient conditions for the NLMF algorithm convergence in the mean are obtained and the analysis of the steady-state performance is carried out using the feedback approach. Simulation results confirm the performance of the NLMF algorithm



Item Type:Article
Date:2000
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Zerguine, A.
ID Code:14725
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:47
Last Modified:12 Apr 2011 13:16

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