Steady-State Mean-Square Performance Analysis of a Relaxed Set-Membership NLMS Algorithm by the Energy Conservation Argument

This paper presents an analysis of the steady-state mean-square error (MSE) of the set-membership normalized least-mean square (SM-NLMS) algorithm with relaxation and regularization parameters. These parameters are introduced for the purpose of deriving in a unified way the steady-state MSE performa...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 57; no. 9; pp. 3361 - 3372
Main Authors:	Takahashi, N., Yamada, I.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.09.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive algorithm Adaptive algorithms Algorithm design and analysis Algorithms Applied sciences Energy conservation Energy conservation relation Error analysis error-nonlinearity Exact sciences and technology hyperslab Information, signal and communications theory Mean square error methods Miscellaneous Noise cancellation Nonlinear equations Nonlinearity Performance analysis Projection Regularization set-membership Signal processing Signal processing algorithms Steady-state steady-state MSE Studies Telecommunications and information theory Transient analysis Performance evaluation set-membership Energy conservation relation steady-state MSE Algorithm Non linear phenomenon Steady state hyperslab Mean square error Non linear equation error-nonlinearity Relaxation Simulation Energy conservation Signal processing projection Non linear effect Transient analysis Least mean squares methods
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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