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Blind separation of bilinear mixtures using mutual information minimization
Mokhtari, F ; Sharif University of Technology
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- Type of Document: Article
- DOI: 10.1109/MLSP.2009.5306215
- Abstract:
- In this paper an approach for blind source separation in bilinear (or linear quadratic) mixtures is presented. The proposed algorithm employs the same recurrent structure as [Hosseini and Deville, 2003) for separating these mixtures . However, instead of maximal likelihood, our algorithm is based on minimizing the mutual information of the outputs for recovering the independent components. Simulation results show the efficiency of the proposed algorithm. © 2009 IEEE
- Keywords:
- Blind separation ; Independent components ; Linear quadratic ; Mutual informations ; Simulation result ; Learning systems ; Mixtures ; Signal processing ; Technical presentations ; Blind source separation
- Source: Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009, 2 September 2009 through 4 September 2009, Grenoble ; 2009 ; 9781424449484 (ISBN)
- URL: http://ieeexplore.ieee.org/document/5306215/?reload=true