Volume 9 Number 1 (Jan. 2014)
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JSW 2014 Vol.9(1): 184-189 ISSN: 1796-217X
doi: 10.4304/jsw.9.1.184-189

A Fast Algorithm for Undedetermined Mixing Matrix Identification Based on Mixture of Guassian (MoG) Sources Model

Jiechang Wen1, Suxian Zhang2, Junjie Yang3
1School of Applied Mathematics, Guangdong University of Technology, Guangzhou, China
2School of Information Engineering, Guangdong University of Technology, Guangzhou, China
3School of Automation, Guangdong University of Technology, Guangzhou, China


Abstract—This paper proposes a new fast method for identifying the mixing matrix based on a binary state mixture of Gaussian (MoG) source model. First, a necessary discussion for solving the mixing matrix detection is offered under the multiple dominant circumstance. Second, a density detection method is presented to improve the identification performance. Simulations are given to demonstrate the effectiveness of our proposed approach.

Index Terms—blind source separation (BSS); sparse component analysisSCA; density detection; mixture of Gaussian (MoG) model.

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Cite: Jiechang Wen, Suxian Zhang, Junjie Yang, "A Fast Algorithm for Undedetermined Mixing Matrix Identification Based on Mixture of Guassian (MoG) Sources Model," Journal of Software vol. 9, no. 1, pp. 184-189, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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