基于张量分解的卷积盲源分离方法

doi:10.11959/j.issn.1000-436x.2021140

Journal on Communications ›› 2021, Vol. 42 ›› Issue (8): 52-60.doi: 10.11959/j.issn.1000-436x.2021140

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Convolutive blind source separation method based on tensor decomposition

Baoze MA, Tianqi ZHANG, Zeliang AN, Pan DENG

Chongqing Key Laboratory of Signal and Information Processing, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Revised:2021-06-30 Online:2021-08-25 Published:2021-08-01
Supported by:
The National Natural Science Foundation of China(61671095);The National Natural Science Foundation of China(61371164);The Project of Key Laborato-ry of Signal and Information Processing of Chongqing(CSTC2009CA2003);The Research Project of Chongqing Educational Commission(KJ130524);The Research Project of Chongqing Educational Commission(KJ1600427);The Research Project of Chongqing Educational Commission(KJ1600429)

Abstract

Abstract:

A convolutive blind source separation algorithm was proposed based on tensor decomposition framework, to address the estimation of mixed filter matrix and the permutation alignment of frequency bin simultaneously.Firstly, the tensor models at all frequency bins were constructed according to the estimated autocorrelation matrix of the observed signals.Secondly, the factor matrix corresponding to each frequency bin was calculated by tensor decomposition technique as the estimated mixed filter matrix for that bin.Finally, a global optimal permutation strategy with power ratio as the permutation alignment measure was adopted to eliminate the permutation ambiguity in all the frequency bins.Experimental results demonstrate that the proposed method achieves better separation performance than other existing algorithms when dealing with convolutive mixed speech under different simulation conditions.

Key words: convolutive blind source separation, tensor decomposition, autocorrelation matrix, permutation ambiguity

CLC Number:

TN911.6

Baoze MA, Tianqi ZHANG, Zeliang AN, Pan DENG. Convolutive blind source separation method based on tensor decomposition[J]. Journal on Communications, 2021, 42(8): 52-60.

Figures/Tables 7

References 14

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