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Blind source separation by adaptive estimation of score function difference

Samadi, S ; Sharif University of Technology | 2004

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  1. Type of Document: Article
  2. DOI: 10.1007/978-3-540-30110-3_2
  3. Publisher: Springer Verlag , 2004
  4. Abstract:
  5. In this paper, an adaptive algorithm for blind source separation in linear instantaneous mixtures is proposed, and it is shown to be the optimum version of the EASI algorithm. The algorithm is based on minimization of mutual information of outputs. This minimization is done using adaptive estimation of a recently proposed non-parametric "gradient" for mutual information. © Springer-Verlag 2004
  6. Keywords:
  7. Probability density function ; Blind signal ; Blind source separation ; Independent component analysis ; Mutual information
  8. Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Volume 3195 , 2004 , Pages 9-17 ; 03029743 (ISSN); 3540230564 (ISBN); 9783540230564 (ISBN)
  9. URL: https://link.springer.com/chapter/10.1007/978-3-540-30110-3_2