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Differential of the Mutual Information

Babaie Zadeh, M ; Sharif University of Technology | 2004

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  1. Type of Document: Article
  2. DOI: 10.1109/LSP.2003.819344
  3. Publisher: 2004
  4. Abstract:
  5. In this letter, we compute the variation of the mutual information, resulting from a small variation in its argument. Although the result can be applied in many problems, we consider only one example: the result is used for deriving a new method for blind source separation in linear mixtures. The experimental results emphasize the performance of the resulting algorithm
  6. Keywords:
  7. Blind source separation (BSS) ; Independent component analysis (ICA) ; Mutual information
  8. Source: IEEE Signal Processing Letters ; Volume 11, Issue 1 , 2004 , Pages 48-51 ; 10709908 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/1255922