A New Glass of Nonlinear Filters: Microstatistic Volterra Filters

In this paper a new subset of the time-invariant microstatistic filters so-called microstatistic Volterra filters are proposed. This class of nonlinear filters is based on the idea of the conventional microstatistic filter generalization by substituting Wiener filters applied in the conventional mic...

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Main Authors: S. Marchevsky, M. Drutarovsky, D. Kocur
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 1996-04-01
Series:Radioengineering
Online Access:http://www.radioeng.cz/fulltexts/1996/96_01_05.pdf
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author S. Marchevsky
M. Drutarovsky
D. Kocur
author_facet S. Marchevsky
M. Drutarovsky
D. Kocur
author_sort S. Marchevsky
collection DOAJ
description In this paper a new subset of the time-invariant microstatistic filters so-called microstatistic Volterra filters are proposed. This class of nonlinear filters is based on the idea of the conventional microstatistic filter generalization by substituting Wiener filters applied in the conventional microstatistic filter structure by Volterra filters. The advantage of the microstatistic Volterra filters in comparison with the Wiener filters, Volterra filters and conventional microstatistic filters is the fact that in the case of non-Gaussian signal processing the microstatistic Volterra filters can outperform Wiener filters, Volterra filters or conventional microstatistic filters. The validity of this basic property of the microstatistic Volterra filters is verified by a number of computer experiments. The disadvantage of the microstatistic Volterra filters is their relatively high computational complexity.
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spelling doaj.art-95227ff99518461d9f5624be42e37bf92022-12-21T22:52:34ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25121996-04-0151A New Glass of Nonlinear Filters: Microstatistic Volterra FiltersS. MarchevskyM. DrutarovskyD. KocurIn this paper a new subset of the time-invariant microstatistic filters so-called microstatistic Volterra filters are proposed. This class of nonlinear filters is based on the idea of the conventional microstatistic filter generalization by substituting Wiener filters applied in the conventional microstatistic filter structure by Volterra filters. The advantage of the microstatistic Volterra filters in comparison with the Wiener filters, Volterra filters and conventional microstatistic filters is the fact that in the case of non-Gaussian signal processing the microstatistic Volterra filters can outperform Wiener filters, Volterra filters or conventional microstatistic filters. The validity of this basic property of the microstatistic Volterra filters is verified by a number of computer experiments. The disadvantage of the microstatistic Volterra filters is their relatively high computational complexity.www.radioeng.cz/fulltexts/1996/96_01_05.pdf
spellingShingle S. Marchevsky
M. Drutarovsky
D. Kocur
A New Glass of Nonlinear Filters: Microstatistic Volterra Filters
Radioengineering
title A New Glass of Nonlinear Filters: Microstatistic Volterra Filters
title_full A New Glass of Nonlinear Filters: Microstatistic Volterra Filters
title_fullStr A New Glass of Nonlinear Filters: Microstatistic Volterra Filters
title_full_unstemmed A New Glass of Nonlinear Filters: Microstatistic Volterra Filters
title_short A New Glass of Nonlinear Filters: Microstatistic Volterra Filters
title_sort new glass of nonlinear filters microstatistic volterra filters
url http://www.radioeng.cz/fulltexts/1996/96_01_05.pdf
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