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Differential of the mutual information | IEEE Journals & Magazine | IEEE Xplore

Differential of the mutual information


Abstract:

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,...Show More

Abstract:

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.
Published in: IEEE Signal Processing Letters ( Volume: 11, Issue: 1, January 2004)
Page(s): 48 - 51
Date of Publication: 07 January 2004

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