Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm


  • Bruno Rodrigues de Oliveira UNESP
  • Marco Aparecido Queiroz Duarte UEMS - Unidade Universitária de Cassilândia
  • Jozué Vieira Filho UNESP - Departamento de Engenharia Elétrica - Campus de Ilha Solteira



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.

Author Biography

Bruno Rodrigues de Oliveira, UNESP

Graduado em Licenciatura em Matemática
Especialista em Engenharia de Sistemas
Mestre em Engenharia Elétrica 


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How to Cite

de Oliveira, B. R., Duarte, M. A. Q., & Vieira Filho, J. (2018). Blind Source Separation by Multiresolution Analysis using AMUSE Algorithm. Multi-Science Journal, 1(3), 40–45.



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