doi: 10.4304/jsw.9.1.184-189
A Fast Algorithm for Undedetermined Mixing Matrix Identification Based on Mixture of Guassian (MoG) Sources Model
- 1 School of Applied Mathematics, Guangdong University of Technology, Guangzhou, China
- 2 School of Information Engineering, Guangdong University of Technology, Guangzhou, China
- 3 School 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.
Keywords
- blind
- source
- separation
- (BSS);
- sparse
- co
How to Cite
Jiechang Wen, Suxian Zhang, and 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. https://doi.org/ 10.4304/jsw.9.1.184-189
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).