Polynomial expansion of the probability density function about gaussian mixtures
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , |
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/4167 |
Resumo: | A polynomial expansion to probability density function (pdf) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Pareen estimator to derive an orthonormal basis that is able to represent the characteristics of probability distributions that are not concentrated in the vicinity of the mean point such as the Gaussian pdf. The blind source separation problem is used to illustrate the applicability of the proposal in practical analysis of the dynamics of the recovered data pdf estimation. Simulations are carried out to illustrate the analysis. |
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Polynomial expansion of the probability density function about gaussian mixturesTeleinformáticaA polynomial expansion to probability density function (pdf) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Pareen estimator to derive an orthonormal basis that is able to represent the characteristics of probability distributions that are not concentrated in the vicinity of the mean point such as the Gaussian pdf. The blind source separation problem is used to illustrate the applicability of the proposal in practical analysis of the dynamics of the recovered data pdf estimation. Simulations are carried out to illustrate the analysis.Workshop on Machine Learning for Signal Processing2012-12-13T19:17:41Z2012-12-13T19:17:41Z2004info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfCAVALCANTE, C. C. ; MOTA, J. C. M. ; ROMANO, J. M. T. Polynomial expansion of the probability density function about gaussian mixtures. In: WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 14., 2004, São Luiz. Anais... São Luiz: IEEE, 2004. p. 163-172http://www.repositorio.ufc.br/handle/riufc/4167Cavalcante, Charles CasimiroMota, João César MouraRomano, João Marcos Travassosengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2019-12-31T20:30:50Zoai:repositorio.ufc.br:riufc/4167Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:35:23.725814Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Polynomial expansion of the probability density function about gaussian mixtures |
title |
Polynomial expansion of the probability density function about gaussian mixtures |
spellingShingle |
Polynomial expansion of the probability density function about gaussian mixtures Cavalcante, Charles Casimiro Teleinformática |
title_short |
Polynomial expansion of the probability density function about gaussian mixtures |
title_full |
Polynomial expansion of the probability density function about gaussian mixtures |
title_fullStr |
Polynomial expansion of the probability density function about gaussian mixtures |
title_full_unstemmed |
Polynomial expansion of the probability density function about gaussian mixtures |
title_sort |
Polynomial expansion of the probability density function about gaussian mixtures |
author |
Cavalcante, Charles Casimiro |
author_facet |
Cavalcante, Charles Casimiro Mota, João César Moura Romano, João Marcos Travassos |
author_role |
author |
author2 |
Mota, João César Moura Romano, João Marcos Travassos |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Cavalcante, Charles Casimiro Mota, João César Moura Romano, João Marcos Travassos |
dc.subject.por.fl_str_mv |
Teleinformática |
topic |
Teleinformática |
description |
A polynomial expansion to probability density function (pdf) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Pareen estimator to derive an orthonormal basis that is able to represent the characteristics of probability distributions that are not concentrated in the vicinity of the mean point such as the Gaussian pdf. The blind source separation problem is used to illustrate the applicability of the proposal in practical analysis of the dynamics of the recovered data pdf estimation. Simulations are carried out to illustrate the analysis. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004 2012-12-13T19:17:41Z 2012-12-13T19:17:41Z |
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. ; MOTA, J. C. M. ; ROMANO, J. M. T. Polynomial expansion of the probability density function about gaussian mixtures. In: WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 14., 2004, São Luiz. Anais... São Luiz: IEEE, 2004. p. 163-172 http://www.repositorio.ufc.br/handle/riufc/4167 |
identifier_str_mv |
CAVALCANTE, C. C. ; MOTA, J. C. M. ; ROMANO, J. M. T. Polynomial expansion of the probability density function about gaussian mixtures. In: WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 14., 2004, São Luiz. Anais... São Luiz: IEEE, 2004. p. 163-172 |
url |
http://www.repositorio.ufc.br/handle/riufc/4167 |
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 |
Workshop on Machine Learning for Signal Processing |
publisher.none.fl_str_mv |
Workshop on Machine Learning for Signal Processing |
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_ |
1813028867255828480 |