Performance of soft limiters in the LMS algorithm for cyclostationary white Gaussian inputs

The analysis of saturation-type nonlinearities on the input and the error in the weight update equation for LMS adaptation were obtained for a stationary white Gaussian data model in [28] for system identification. Here the input signal is modeled by a cyclostationary white Gaussian random process w...

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Veröffentlicht in:	Signal processing Jg. 152; S. 197 - 205
Hauptverfasser:	Bershad, Neil J., Eweda, Eweda, Bermudez, Jose C.M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2018
Schlagworte:	Adaptive filters Analysis Signed LMS algorithms Stochastic algorithms Stochastic algorithms Signed LMS algorithms Adaptive filters Analysis
ISSN:	0165-1684, 1872-7557
Online-Zugang:	Volltext
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