Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Multi-Science Journal |
Texto Completo: | https://periodicos.ifgoiano.edu.br/multiscience/article/view/106 |
Resumo: | Algorithms for blind source separation have been extensively studied in the last years. This paper proposes the use of multiresolution analysis in three decomposition levels of the wavelet transform, such as a preprocessing step, and the AMUSE algorithm to separate the source signals in distinct levels of resolution. The results show that there is an improvement in the estimation of the signals and the of mixing matrix even in noisy environment if compared to the use of AMUSE only. |
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Multi-Science Journal |
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Blind Source Separation by Multiresolution Analysis using AMUSE AlgorithmAlgorithms for blind source separation have been extensively studied in the last years. This paper proposes the use of multiresolution analysis in three decomposition levels of the wavelet transform, such as a preprocessing step, and the AMUSE algorithm to separate the source signals in distinct levels of resolution. The results show that there is an improvement in the estimation of the signals and the of mixing matrix even in noisy environment if compared to the use of AMUSE only.Instituto Federal Goiano - Câmpus Urutaí2018-03-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ifgoiano.edu.br/multiscience/article/view/10610.33837/msj.v1i3.106Multi-Science Journal; Vol. 1 No. 3 (2015); 40-45Multi-Science Journal; v. 1 n. 3 (2015); 40-452359-69022359-6902reponame:Multi-Science Journalinstname:Instituto Federal de Educação, Ciência e Tecnologia Goiano (IF Goiano)instacron:IFGOenghttps://periodicos.ifgoiano.edu.br/multiscience/article/view/106/84Copyright (c) 2017 Bruno Rodrigues de Oliveira, Marco Aparecido Queiroz Duarte, Jozué Vieira Filhoinfo:eu-repo/semantics/openAccessde Oliveira, Bruno RodriguesDuarte, Marco Aparecido QueirozVieira Filho, Jozué2018-03-18T10:17:38Zoai:ojs.emnuvens.com.br:article/106Revistahttps://periodicos.ifgoiano.edu.br/index.php/multisciencePUBhttps://periodicos.ifgoiano.edu.br/index.php/multiscience/oaiguilhermeifgoiano@gmail.com || multiscience@ifgoiano.edu.br || wesley.andrade@ifgoiano.edu.br2359-69022359-6902opendoar:2018-03-18T10:17:38Multi-Science Journal - Instituto Federal de Educação, Ciência e Tecnologia Goiano (IF Goiano)false |
dc.title.none.fl_str_mv |
Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm |
title |
Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm |
spellingShingle |
Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm de Oliveira, Bruno Rodrigues |
title_short |
Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm |
title_full |
Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm |
title_fullStr |
Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm |
title_full_unstemmed |
Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm |
title_sort |
Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm |
author |
de Oliveira, Bruno Rodrigues |
author_facet |
de Oliveira, Bruno Rodrigues Duarte, Marco Aparecido Queiroz Vieira Filho, Jozué |
author_role |
author |
author2 |
Duarte, Marco Aparecido Queiroz Vieira Filho, Jozué |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
de Oliveira, Bruno Rodrigues Duarte, Marco Aparecido Queiroz Vieira Filho, Jozué |
description |
Algorithms for blind source separation have been extensively studied in the last years. This paper proposes the use of multiresolution analysis in three decomposition levels of the wavelet transform, such as a preprocessing step, and the AMUSE algorithm to separate the source signals in distinct levels of resolution. The results show that there is an improvement in the estimation of the signals and the of mixing matrix even in noisy environment if compared to the use of AMUSE only. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03-18 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ifgoiano.edu.br/multiscience/article/view/106 10.33837/msj.v1i3.106 |
url |
https://periodicos.ifgoiano.edu.br/multiscience/article/view/106 |
identifier_str_mv |
10.33837/msj.v1i3.106 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ifgoiano.edu.br/multiscience/article/view/106/84 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Bruno Rodrigues de Oliveira, Marco Aparecido Queiroz Duarte, Jozué Vieira Filho info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Bruno Rodrigues de Oliveira, Marco Aparecido Queiroz Duarte, Jozué Vieira Filho |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Federal Goiano - Câmpus Urutaí |
publisher.none.fl_str_mv |
Instituto Federal Goiano - Câmpus Urutaí |
dc.source.none.fl_str_mv |
Multi-Science Journal; Vol. 1 No. 3 (2015); 40-45 Multi-Science Journal; v. 1 n. 3 (2015); 40-45 2359-6902 2359-6902 reponame:Multi-Science Journal instname:Instituto Federal de Educação, Ciência e Tecnologia Goiano (IF Goiano) instacron:IFGO |
instname_str |
Instituto Federal de Educação, Ciência e Tecnologia Goiano (IF Goiano) |
instacron_str |
IFGO |
institution |
IFGO |
reponame_str |
Multi-Science Journal |
collection |
Multi-Science Journal |
repository.name.fl_str_mv |
Multi-Science Journal - Instituto Federal de Educação, Ciência e Tecnologia Goiano (IF Goiano) |
repository.mail.fl_str_mv |
guilhermeifgoiano@gmail.com || multiscience@ifgoiano.edu.br || wesley.andrade@ifgoiano.edu.br |
_version_ |
1798325175278632960 |