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

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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.