Aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caos

Aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caos

The paper is dedicated to the description of two approximate methods of non-linear filtering algorithms for signals of Lorenz, hua and Rössler attractors to provide real time filtering solutions for scenarios with low Signal Noise Ratios (SNR). For those cases he method of the Global (Integral) Appr...

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Main Authors: Valeri Kontorovich, Zinaida Lovtchikova
Format: Article
Language:English
Published: Universidad Distrital Francisco José de Caldas 2009-11-01
Series:Visión Electrónica
Subjects:
Nonlinear filtering
Global Approximation
Probability Density Function
Attractors
conditions
Asymptotical solutions.
Online Access:http://revistas.udistrital.edu.co/ojs/index.php/visele/article/view/2830/4117
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spelling doaj-c1711308aba84d8b9b5d1e377baa218c2020-11-25T03:41:40ZengUniversidad Distrital Francisco José de CaldasVisión Electrónica1909-97462248-47282009-11-0132511Aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caosValeri KontorovichZinaida LovtchikovaThe paper is dedicated to the description of two approximate methods of non-linear filtering algorithms for signals of Lorenz, hua and Rössler attractors to provide real time filtering solutions for scenarios with low Signal Noise Ratios (SNR). For those cases he method of the Global (Integral) Approximation of the a-posteriori Probability Density Function (PDF) is considered. Some asymptotical solutions are presented as well.http://revistas.udistrital.edu.co/ojs/index.php/visele/article/view/2830/4117Nonlinear filteringGlobal ApproximationProbability Density FunctionAttractorsconditionsAsymptotical solutions.
collection DOAJ
language English
format Article
sources DOAJ
author Valeri Kontorovich
Zinaida Lovtchikova
spellingShingle Valeri Kontorovich
Zinaida Lovtchikova
Aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caos
Visión Electrónica
Nonlinear filtering
Global Approximation
Probability Density Function
Attractors
conditions
Asymptotical solutions.
author_facet Valeri Kontorovich
Zinaida Lovtchikova
author_sort Valeri Kontorovich
title Aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caos
title_short Aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caos
title_full Aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caos
title_fullStr Aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caos
title_full_unstemmed Aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caos
title_sort aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caos
publisher Universidad Distrital Francisco José de Caldas
series Visión Electrónica
issn 1909-9746
2248-4728
publishDate 2009-11-01
description The paper is dedicated to the description of two approximate methods of non-linear filtering algorithms for signals of Lorenz, hua and Rössler attractors to provide real time filtering solutions for scenarios with low Signal Noise Ratios (SNR). For those cases he method of the Global (Integral) Approximation of the a-posteriori Probability Density Function (PDF) is considered. Some asymptotical solutions are presented as well.
topic Nonlinear filtering
Global Approximation
Probability Density Function
Attractors
conditions
Asymptotical solutions.
url http://revistas.udistrital.edu.co/ojs/index.php/visele/article/view/2830/4117
work_keys_str_mv AT valerikontorovich aproximatealgorithmsfornonlinearfilteringofchaosalgoritmosdeaproximacionparafiltradonolinealdecaos
AT zinaidalovtchikova aproximatealgorithmsfornonlinearfilteringofchaosalgoritmosdeaproximacionparafiltradonolinealdecaos
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