Stochastic Analysis of the Signed LMS Algorithms for Cyclostationary White Gaussian Inputs

This paper studies the stochastic behavior of the signed variants of the LMS algorithm for a system identification framework when the input signal is a cyclostationary white Gaussian process. Three algorithms are studied: the signed regressor, the signed error, and the sign-sign algorithms. The inpu...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 65; H. 7; S. 1673 - 1684
Hauptverfasser:	Eweda, Eweda, Bershad, Neil J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2017
Schlagworte:	Adaptation models Adaptive filters Algorithm design and analysis Analysis Analytical models Mathematical model Signal processing algorithms Signed LMS Algorithms Stochastic Algorithms Stochastic processes
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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