(2000) Convergence Behavior of the Normalized Least Mean Fourth Algorithm. In: 34th Annual, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California.

Full text not available from this repository.

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:	Conference or Workshop Item (Paper)
Subjects:	Electrical
Department:	College of Engineering and Physics > Electrical Engineering
Depositing User:	Mr. Md. Ahsanul Alam
Date Deposited:	21 Apr 2008 07:53
Last Modified:	01 Nov 2019 13:25
URI:	http://eprints.kfupm.edu.sa/id/eprint/1047