Underdetermined Blind Source Separation Combining Tensor Decomposition and Nonnegative Matrix Factorization

Underdetermined Blind Source Separation Combining Tensor Decomposition and Nonnegative Matrix Factorization

Underdetermined blind source separation (UBSS) is a hot topic in signal processing, which aims at recovering the source signals from a number of observed mixtures without knowing the mixing system. Recently, expectation-maximization algorithm shows a great potential in the UBSS. However, the final s...

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Bibliographic Details
Main Authors: Yuan Xie, Kan Xie, Junjie Yang, Shengli Xie
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Symmetry
Subjects:
underdetermined blind source separation
nonnegative matrix factorization
expectation-maximization algorithm
multichannel source mixtures
Online Access:http://www.mdpi.com/2073-8994/10/10/521

Internet

http://www.mdpi.com/2073-8994/10/10/521

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