Performance analysis of adaptive Volterra filters in the finite-alphabet input case
type: Item
instance of: scholarly article
title: Performance analysis of adaptive Volterra filters in the finite-alphabet input case
zbMATH Open document ID: 1107.93326
DOI: 10.1155/S1110865704407227
author: Hichem Besbes
author: Mériem Jaïdane
author: Jelel Ezzine
published in: EURASIP Journal on Applied Signal Processing
publication date: 2005-10-28T00:00:00Z
review text: 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.
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 2220185
zbMATH Keywords: adaptive Volterra filters
zbMATH Keywords: LMS algorithm
zbMATH Keywords: time-varying channels
zbMATH Keywords: finite-alphabet inputs
zbMATH Keywords: exact performance analysis
Wikidata QID: Q56945816
MaRDI profile type: Publication
full work available at URL: s1110865704407227
OpenAlex ID: W2150471742
DBLP publication ID: journals/ejasp/BesbesJE04
description: scientific article