Adaptive filtering algorithms and data-selective strategies for graph signal estimation
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Título da fonte: | Portal de Dados Abertos da CAPES |
Texto Completo: | https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7660552 |
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BRCRIS_2ccec9706e26c535c2e58a4bb0312716 |
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network_acronym_str |
CAPES |
network_name_str |
Portal de Dados Abertos da CAPES |
dc.title.pt-BR.fl_str_mv |
Adaptive filtering algorithms and data-selective strategies for graph signal estimation |
title |
Adaptive filtering algorithms and data-selective strategies for graph signal estimation |
spellingShingle |
Adaptive filtering algorithms and data-selective strategies for graph signal estimation filtragem Set-membership Data-selective algorithms Marcelo Jorge Mendes Spelta |
title_short |
Adaptive filtering algorithms and data-selective strategies for graph signal estimation |
title_full |
Adaptive filtering algorithms and data-selective strategies for graph signal estimation |
title_fullStr |
Adaptive filtering algorithms and data-selective strategies for graph signal estimation Adaptive filtering algorithms and data-selective strategies for graph signal estimation |
title_full_unstemmed |
Adaptive filtering algorithms and data-selective strategies for graph signal estimation Adaptive filtering algorithms and data-selective strategies for graph signal estimation |
title_sort |
Adaptive filtering algorithms and data-selective strategies for graph signal estimation |
topic |
filtragem Set-membership Data-selective algorithms |
publishDate |
2019 |
format |
masterThesis |
url |
https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7660552 |
author_role |
author |
author |
Marcelo Jorge Mendes Spelta |
author_facet |
Marcelo Jorge Mendes Spelta |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/9034674380412267 |
dc.contributor.advisor1.fl_str_mv |
Wallace Alves Martins |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9831529608100233 |
dc.publisher.none.fl_str_mv |
UNIVERSIDADE FEDERAL DO RIO DE JANEIRO |
publisher.none.fl_str_mv |
UNIVERSIDADE FEDERAL DO RIO DE JANEIRO |
instname_str |
UNIVERSIDADE FEDERAL DO RIO DE JANEIRO |
dc.publisher.program.fl_str_mv |
ENGENHARIA ELÉTRICA |
dc.description.course.none.fl_txt_mv |
ENGENHARIA ELÉTRICA |
reponame_str |
Portal de Dados Abertos da CAPES |
collection |
Portal de Dados Abertos da CAPES |
spelling |
CAPESPortal de Dados Abertos da CAPESAdaptive filtering algorithms and data-selective strategies for graph signal estimationAdaptive filtering algorithms and data-selective strategies for graph signal estimationAdaptive filtering algorithms and data-selective strategies for graph signal estimationAdaptive filtering algorithms and data-selective strategies for graph signal estimationAdaptive filtering algorithms and data-selective strategies for graph signal estimationAdaptive filtering algorithms and data-selective strategies for graph signal estimationAdaptive filtering algorithms and data-selective strategies for graph signal estimationfiltragem Set-membership2019masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7660552authorMarcelo Jorge Mendes Speltahttp://lattes.cnpq.br/9034674380412267Wallace Alves Martinshttp://lattes.cnpq.br/9831529608100233UNIVERSIDADE FEDERAL DO RIO DE JANEIROUNIVERSIDADE FEDERAL DO RIO DE JANEIROUNIVERSIDADE FEDERAL DO RIO DE JANEIROENGENHARIA ELÉTRICAENGENHARIA ELÉTRICAPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES |
identifier_str_mv |
Spelta, Marcelo Jorge Mendes. Adaptive filtering algorithms and data-selective strategies for graph signal estimation. 2019. Tese. |
dc.identifier.citation.fl_str_mv |
Spelta, Marcelo Jorge Mendes. Adaptive filtering algorithms and data-selective strategies for graph signal estimation. 2019. Tese. |
_version_ |
1741883749866405888 |