Title :
Differential of the mutual information
Author :
Babaie-Zadeh, Massoud ; Jutten, Christian ; Nayebi, Kambiz
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.
Keywords :
blind source separation; independent component analysis; information theory; signal processing; blind source separation; differential; independent component analysis; linear mixtures; mutual information; Algorithm design and analysis; Blind source separation; Independent component analysis; Mutual information; Random variables; Signal analysis; Signal generators; Signal processing algorithms; Source separation; Vectors;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2003.819344
