A simplicial canonical piecewise linear adaptive filter
type: Item
instance of: scholarly article
title: A simplicial canonical piecewise linear adaptive filter
zbMATH Open document ID: 1076.93040
author: J. L. Figueroa
author: J. Cousseau
author: Rui J. P. de Figueiredo
published in: Circuits, Systems, and Signal Processing
publication date: 2005-02-11T00:00:00Z
review text: The paper studies a nonlinear adaptive filtering algorithm based on the so-called canonical piecewise linear (CPWL) approximation of nonlinear functions. In particular, a representation using the concept of simplicial partition of the domain of interest is considered on the real line (SPWL). The resulting adaptive filter consists of a linear finite impulse response system followed by a static nonlinearity (represented by an SPWL map) and is characterized by low computational and implementation costs due to its reduced number of parameters. The convergence properties of the filter are also discussed and its performance is illustrated by simulation examples.
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 93B18
Mathematics Subject Classification ID: 93B40
zbMATH DE Number: 2133412
zbMATH Keywords: adaptive filtering
zbMATH Keywords: nonlinear filtering
zbMATH Keywords: Wiener models
zbMATH Keywords: piecewise linear approximations
zbMATH Keywords: simplicial partition
zbMATH Keywords: SPWL map
reviewed by: Giovanni Di Masi
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 2133412