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...
Main Authors: | , , |
---|---|
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 |
_version_ | 1818439338304733184 |
---|---|
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. |
first_indexed | 2024-12-14T17:54:52Z |
format | Article |
id | doaj.art-95227ff99518461d9f5624be42e37bf9 |
institution | Directory Open Access Journal |
issn | 1210-2512 |
language | English |
last_indexed | 2024-12-14T17:54:52Z |
publishDate | 1996-04-01 |
publisher | Spolecnost pro radioelektronicke inzenyrstvi |
record_format | Article |
series | Radioengineering |
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 |
work_keys_str_mv | AT smarchevsky anewglassofnonlinearfiltersmicrostatisticvolterrafilters AT mdrutarovsky anewglassofnonlinearfiltersmicrostatisticvolterrafilters AT dkocur anewglassofnonlinearfiltersmicrostatisticvolterrafilters AT smarchevsky newglassofnonlinearfiltersmicrostatisticvolterrafilters AT mdrutarovsky newglassofnonlinearfiltersmicrostatisticvolterrafilters AT dkocur newglassofnonlinearfiltersmicrostatisticvolterrafilters |