Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm

(2000) Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm. Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar conference, 1.

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Abstract

In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. Sufficient and necessary conditions for the convergence of the algorithm are derived. Furthermore, bounds on the step size to ensure convergence of the LMF algorithm are also derived

Item Type: Article
Subjects: Computer
Department: College of Engineering and Physics > Electrical Engineering
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 13:21
Last Modified: 01 Nov 2019 14:04
URI: https://eprints.kfupm.edu.sa/id/eprint/14069