Convergence behavior of the normalized least mean fourth algorithm

(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
Subjects: Computer
Department: College of Engineering and Physics > Electrical Engineering
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 13:47
Last Modified: 01 Nov 2019 14:07
URI: https://eprints.kfupm.edu.sa/id/eprint/14725