Loading...

Blind separation of bilinear mixtures using mutual information minimization

Mokhtari, F ; Sharif University of Technology

339 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/MLSP.2009.5306215
  3. Abstract:
  4. 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
  5. Keywords:
  6. Blind separation ; Independent components ; Linear quadratic ; Mutual informations ; Simulation result ; Learning systems ; Mixtures ; Signal processing ; Technical presentations ; Blind source separation
  7. 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)
  8. URL: http://ieeexplore.ieee.org/document/5306215/?reload=true