A PDF estimation-based blind criterion for adaptive equalization

Detalhes bibliográficos
Autor(a) principal: Cavalcante, Charles Casimiro
Data de Publicação: 2002
Outros Autores: Cavalcanti, Francisco Rodrigo Porto, Mota, João César Moura
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/69584
Resumo: A blind criterion for adaptive equalization based on proba- bility density function (pdf) estimation is proposed. The criterion measures the divergence of the pdf of an ideally equalized signal against the one from a parametric model resulting in a cost function that is a sort of entropy minimization of the equalizer output signal. It is also shown a link between the constant modulus (CM) criterion and the proposed one under certain circumstances. Some convergence properties are studied and the performance of the proposal is evaluated through simulations faced to a classical blind criterion.
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spelling A PDF estimation-based blind criterion for adaptive equalizationA blind criterion for adaptive equalization based on proba- bility density function (pdf) estimation is proposed. The criterion measures the divergence of the pdf of an ideally equalized signal against the one from a parametric model resulting in a cost function that is a sort of entropy minimization of the equalizer output signal. It is also shown a link between the constant modulus (CM) criterion and the proposed one under certain circumstances. Some convergence properties are studied and the performance of the proposal is evaluated through simulations faced to a classical blind criterion.International Telecommunications Symposium2022-11-29T13:35:26Z2022-11-29T13:35:26Z2002info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfCAVALCANTE, C. C.; CAVALCANTI, F. R. P.; MOTA, J. C. M. A PDF estimation-based blind criterion for adaptive equalization. In: INTERNATIONAL TELECOMMUNICATIONS SYMPOSIUM, 5., 2002, Natal. Anais... Natal: IEEE, 2002. p. 1-6.http://www.repositorio.ufc.br/handle/riufc/69584Cavalcante, Charles CasimiroCavalcanti, Francisco Rodrigo PortoMota, João César Mouraengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2022-11-29T13:35:26Zoai:repositorio.ufc.br:riufc/69584Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:55:18.336832Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv A PDF estimation-based blind criterion for adaptive equalization
title A PDF estimation-based blind criterion for adaptive equalization
spellingShingle A PDF estimation-based blind criterion for adaptive equalization
Cavalcante, Charles Casimiro
title_short A PDF estimation-based blind criterion for adaptive equalization
title_full A PDF estimation-based blind criterion for adaptive equalization
title_fullStr A PDF estimation-based blind criterion for adaptive equalization
title_full_unstemmed A PDF estimation-based blind criterion for adaptive equalization
title_sort A PDF estimation-based blind criterion for adaptive equalization
author Cavalcante, Charles Casimiro
author_facet Cavalcante, Charles Casimiro
Cavalcanti, Francisco Rodrigo Porto
Mota, João César Moura
author_role author
author2 Cavalcanti, Francisco Rodrigo Porto
Mota, João César Moura
author2_role author
author
dc.contributor.author.fl_str_mv Cavalcante, Charles Casimiro
Cavalcanti, Francisco Rodrigo Porto
Mota, João César Moura
description A blind criterion for adaptive equalization based on proba- bility density function (pdf) estimation is proposed. The criterion measures the divergence of the pdf of an ideally equalized signal against the one from a parametric model resulting in a cost function that is a sort of entropy minimization of the equalizer output signal. It is also shown a link between the constant modulus (CM) criterion and the proposed one under certain circumstances. Some convergence properties are studied and the performance of the proposal is evaluated through simulations faced to a classical blind criterion.
publishDate 2002
dc.date.none.fl_str_mv 2002
2022-11-29T13:35:26Z
2022-11-29T13:35:26Z
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 CAVALCANTE, C. C.; CAVALCANTI, F. R. P.; MOTA, J. C. M. A PDF estimation-based blind criterion for adaptive equalization. In: INTERNATIONAL TELECOMMUNICATIONS SYMPOSIUM, 5., 2002, Natal. Anais... Natal: IEEE, 2002. p. 1-6.
http://www.repositorio.ufc.br/handle/riufc/69584
identifier_str_mv CAVALCANTE, C. C.; CAVALCANTI, F. R. P.; MOTA, J. C. M. A PDF estimation-based blind criterion for adaptive equalization. In: INTERNATIONAL TELECOMMUNICATIONS SYMPOSIUM, 5., 2002, Natal. Anais... Natal: IEEE, 2002. p. 1-6.
url http://www.repositorio.ufc.br/handle/riufc/69584
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv International Telecommunications Symposium
publisher.none.fl_str_mv International Telecommunications Symposium
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
_version_ 1813028997702877184

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