Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm

Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm

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 lev...

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Main Authors: Bruno Rodrigues de Oliveira, Marco Aparecido Queiroz Duarte, Jozué Vieira Filho
Format: Article
Language:Portuguese
Published: Instituto Federal Goiano 2018-03-01
Series:Multi-Science Journal
Online Access:https://www.ifgoiano.edu.br/periodicos/index.php/multiscience/article/view/106
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spelling doaj-d509f81a00bd43eb8c00fd41e5a080212020-11-25T00:20:05ZporInstituto Federal GoianoMulti-Science Journal2359-69022359-69022018-03-0113404510.33837/msj.v1i3.10645Blind Source Separation by Multiresolution Analysis using AMUSE AlgorithmBruno Rodrigues de Oliveira0Marco Aparecido Queiroz Duarte1Jozué Vieira Filho2UNESPUEMS - Unidade Universitária de CassilândiaUNESP - Departamento de Engenharia Elétrica - Campus de Ilha SolteiraAlgorithms 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.https://www.ifgoiano.edu.br/periodicos/index.php/multiscience/article/view/106
collection DOAJ
language Portuguese
format Article
sources DOAJ
author Bruno Rodrigues de Oliveira
Marco Aparecido Queiroz Duarte
Jozué Vieira Filho
spellingShingle Bruno Rodrigues de Oliveira
Marco Aparecido Queiroz Duarte
Jozué Vieira Filho
Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm
Multi-Science Journal
author_facet Bruno Rodrigues de Oliveira
Marco Aparecido Queiroz Duarte
Jozué Vieira Filho
author_sort Bruno Rodrigues de Oliveira
title Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm
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
publisher Instituto Federal Goiano
series Multi-Science Journal
issn 2359-6902
2359-6902
publishDate 2018-03-01
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.
url https://www.ifgoiano.edu.br/periodicos/index.php/multiscience/article/view/106
work_keys_str_mv AT brunorodriguesdeoliveira blindsourceseparationbymultiresolutionanalysisusingamusealgorithm
AT marcoaparecidoqueirozduarte blindsourceseparationbymultiresolutionanalysisusingamusealgorithm
AT jozuevieirafilho blindsourceseparationbymultiresolutionanalysisusingamusealgorithm
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