Relationship between supervised and unsupervised criteria for minimum BER filtering

Detalhes bibliográficos
Autor(a) principal: Cavalcante, Charles Casimiro
Data de Publicação: 2004
Outros Autores: Romano, João Marcos Travassos
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/69523
Resumo: In this paper we present a relationship between supervised and unsupervised criteria for minimum bit error rate (BER) filtering. A criterion based on the probability density function (pdf) estimation is used to link the minimum mean square error (MMSE) criterion and the maximum a posteriori one in order to obtain a linear filter that minimize the BER. An important analytical relationship of the three criteria is presented and analyzed showing that is not possible to achieve minimum BER without training sequences when the pdf estimation-based criterion is considered.
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spelling Relationship between supervised and unsupervised criteria for minimum BER filteringMMSEMinimum BERBlind criterionIn this paper we present a relationship between supervised and unsupervised criteria for minimum bit error rate (BER) filtering. A criterion based on the probability density function (pdf) estimation is used to link the minimum mean square error (MMSE) criterion and the maximum a posteriori one in order to obtain a linear filter that minimize the BER. An important analytical relationship of the three criteria is presented and analyzed showing that is not possible to achieve minimum BER without training sequences when the pdf estimation-based criterion is considered.Simpósio Brasileiro de Telecomunicações2022-11-25T14:21:48Z2022-11-25T14:21:48Z2004info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfCAVALCANTE, C. C.; ROMANO, J. M. T. Relationship between supervised and unsupervised criteria for minimum BER filtering. In: SIMPÓSIO BRASILEIRO DE TELECOMUNICAÇÕES, 21., 2004, Belém. Anais... Belém, 2004. p. 1-4.http://www.repositorio.ufc.br/handle/riufc/69523Cavalcante, Charles CasimiroRomano, João Marcos Travassosengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2022-11-25T14:21:48Zoai:repositorio.ufc.br:riufc/69523Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:28:04.837541Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Relationship between supervised and unsupervised criteria for minimum BER filtering
title Relationship between supervised and unsupervised criteria for minimum BER filtering
spellingShingle Relationship between supervised and unsupervised criteria for minimum BER filtering
Cavalcante, Charles Casimiro
MMSE
Minimum BER
Blind criterion
title_short Relationship between supervised and unsupervised criteria for minimum BER filtering
title_full Relationship between supervised and unsupervised criteria for minimum BER filtering
title_fullStr Relationship between supervised and unsupervised criteria for minimum BER filtering
title_full_unstemmed Relationship between supervised and unsupervised criteria for minimum BER filtering
title_sort Relationship between supervised and unsupervised criteria for minimum BER filtering
author Cavalcante, Charles Casimiro
author_facet Cavalcante, Charles Casimiro
Romano, João Marcos Travassos
author_role author
author2 Romano, João Marcos Travassos
author2_role author
dc.contributor.author.fl_str_mv Cavalcante, Charles Casimiro
Romano, João Marcos Travassos
dc.subject.por.fl_str_mv MMSE
Minimum BER
Blind criterion
topic MMSE
Minimum BER
Blind criterion
description In this paper we present a relationship between supervised and unsupervised criteria for minimum bit error rate (BER) filtering. A criterion based on the probability density function (pdf) estimation is used to link the minimum mean square error (MMSE) criterion and the maximum a posteriori one in order to obtain a linear filter that minimize the BER. An important analytical relationship of the three criteria is presented and analyzed showing that is not possible to achieve minimum BER without training sequences when the pdf estimation-based criterion is considered.
publishDate 2004
dc.date.none.fl_str_mv 2004
2022-11-25T14:21:48Z
2022-11-25T14:21:48Z
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.; ROMANO, J. M. T. Relationship between supervised and unsupervised criteria for minimum BER filtering. In: SIMPÓSIO BRASILEIRO DE TELECOMUNICAÇÕES, 21., 2004, Belém. Anais... Belém, 2004. p. 1-4.
http://www.repositorio.ufc.br/handle/riufc/69523
identifier_str_mv CAVALCANTE, C. C.; ROMANO, J. M. T. Relationship between supervised and unsupervised criteria for minimum BER filtering. In: SIMPÓSIO BRASILEIRO DE TELECOMUNICAÇÕES, 21., 2004, Belém. Anais... Belém, 2004. p. 1-4.
url http://www.repositorio.ufc.br/handle/riufc/69523
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 Simpósio Brasileiro de Telecomunicações
publisher.none.fl_str_mv Simpósio Brasileiro de Telecomunicações
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_ 1813028816343269376

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