Loading...

Separating convolutive mixtures by mutual information minimization

Babaie Zadeh, M ; Sharif University of Technology | 2001

114 Viewed
  1. Type of Document: Article
  2. DOI: 10.1007/3-540-45723-2_101
  3. Publisher: Springer Verlag , 2001
  4. Abstract:
  5. Blind Source Separation (BSS) is a basic problem in signal processing. In this paper, we present a new method for separating convolutive mixtures based on the minimization of the output mutual information. We also introduce the concept of joint score function, and derive its relationship with marginal score function and independence. The new approach for minimizing the mutual information is very efficient, although limited by multivariate distribution estimations. © Springer-Verlag Berlin Heidelberg 2001
  6. Keywords:
  7. Mutual information ; Blind source separation ; Core function ; Tual information ; Convolutive mixture
  8. Source: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Granada, 13 June 2001 through 15 June 2001 ; Volume 2085 LNCS, Issue PART 2 , 2001 , Pages 834-842 ; 03029743 (ISSN); 9783540422372 (ISBN)
  9. URL: https://link.springer.com/chapter/10.1007/3-540-45723-2_101