Performance Analysis of Adaptive Volterra Filters in the Finite-Alphabet Input Case

: This paper deals with the analysis of adaptive Volterra filters, driven by the LMS algorithm, in the finite-alphabet inputs case. A tailored approach for the input context is presented and used to analyze the behavior of this nonlinear adaptive filter. Complete and rigorous mean square analysis is...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing 2004-12, Vol.2004 (17), p.179090-179090
Main Authors: Besbes, Hichem, Jaïdane, Mériem, Ezzine, Jelel
Format: Article
Language:English
Subjects:
adaptive Volterra filters
exact performance analysis
finite-alphabet inputs
LMS algorithm
time-varying channels
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Summary:: This paper deals with the analysis of adaptive Volterra filters, driven by the LMS algorithm, in the finite-alphabet inputs case. A tailored approach for the input context is presented and used to analyze the behavior of this nonlinear adaptive filter. Complete and rigorous mean square analysis is provided without any constraining independence assumption. Exact transient and steady-state performances expressed in terms of critical step size, rate of transient decrease, optimal step size, excess mean square error in stationary mode, and tracking nonstationarities are deduced.
ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1186/1687-6180-2004-179090