Another prefiltering algorithm for adaptive IIR filtering

Detalhes bibliográficos
Autor(a) principal: Abud Marcelino, Marcio [UNESP]
Data de Publicação: 1995
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/MWSCAS.1995.510257
http://hdl.handle.net/11449/64679
Resumo: An algorithm for adaptive IIR filtering that uses prefiltering structure in direct form is presented. This structure has an estimation error that is a linear function of the coefficients. This property greatly simplifies the derivation of gradient-based algorithms. Computer simulations show that the proposed structure improves convergence speed.
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spelling Another prefiltering algorithm for adaptive IIR filteringAdaptive filteringComputer simulationConvergence of numerical methodsDigital filtersError analysisErrorsEstimationIdentification (control systems)Estimation errorMean square errorPrefiltering algorithmAlgorithmsAn algorithm for adaptive IIR filtering that uses prefiltering structure in direct form is presented. This structure has an estimation error that is a linear function of the coefficients. This property greatly simplifies the derivation of gradient-based algorithms. Computer simulations show that the proposed structure improves convergence speed.UNESP - Faculdade de Engenharia de Guaratingueta, GuaratinguetaUNESP - Faculdade de Engenharia de Guaratingueta, GuaratinguetaUniversidade Estadual Paulista (Unesp)Abud Marcelino, Marcio [UNESP]2014-05-27T11:18:02Z2014-05-27T11:18:02Z1995-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject987-989http://dx.doi.org/10.1109/MWSCAS.1995.510257Midwest Symposium on Circuits and Systems, v. 2, p. 987-989.http://hdl.handle.net/11449/6467910.1109/MWSCAS.1995.510257WOS:A1996BF75Z002452-s2.0-0029461772Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMidwest Symposium on Circuits and Systemsinfo:eu-repo/semantics/openAccess2021-10-23T21:37:56Zoai:repositorio.unesp.br:11449/64679Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:37:56Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Another prefiltering algorithm for adaptive IIR filtering
title Another prefiltering algorithm for adaptive IIR filtering
spellingShingle Another prefiltering algorithm for adaptive IIR filtering
Abud Marcelino, Marcio [UNESP]
Adaptive filtering
Computer simulation
Convergence of numerical methods
Digital filters
Error analysis
Errors
Estimation
Identification (control systems)
Estimation error
Mean square error
Prefiltering algorithm
Algorithms
title_short Another prefiltering algorithm for adaptive IIR filtering
title_full Another prefiltering algorithm for adaptive IIR filtering
title_fullStr Another prefiltering algorithm for adaptive IIR filtering
title_full_unstemmed Another prefiltering algorithm for adaptive IIR filtering
title_sort Another prefiltering algorithm for adaptive IIR filtering
author Abud Marcelino, Marcio [UNESP]
author_facet Abud Marcelino, Marcio [UNESP]
author_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Abud Marcelino, Marcio [UNESP]
dc.subject.por.fl_str_mv Adaptive filtering
Computer simulation
Convergence of numerical methods
Digital filters
Error analysis
Errors
Estimation
Identification (control systems)
Estimation error
Mean square error
Prefiltering algorithm
Algorithms
topic Adaptive filtering
Computer simulation
Convergence of numerical methods
Digital filters
Error analysis
Errors
Estimation
Identification (control systems)
Estimation error
Mean square error
Prefiltering algorithm
Algorithms
description An algorithm for adaptive IIR filtering that uses prefiltering structure in direct form is presented. This structure has an estimation error that is a linear function of the coefficients. This property greatly simplifies the derivation of gradient-based algorithms. Computer simulations show that the proposed structure improves convergence speed.
publishDate 1995
dc.date.none.fl_str_mv 1995-12-01
2014-05-27T11:18:02Z
2014-05-27T11:18:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/MWSCAS.1995.510257
Midwest Symposium on Circuits and Systems, v. 2, p. 987-989.
http://hdl.handle.net/11449/64679
10.1109/MWSCAS.1995.510257
WOS:A1996BF75Z00245
2-s2.0-0029461772
url http://dx.doi.org/10.1109/MWSCAS.1995.510257
http://hdl.handle.net/11449/64679
identifier_str_mv Midwest Symposium on Circuits and Systems, v. 2, p. 987-989.
10.1109/MWSCAS.1995.510257
WOS:A1996BF75Z00245
2-s2.0-0029461772
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Midwest Symposium on Circuits and Systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 987-989
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1797789377475117056

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