Abstract
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.
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CITATION STYLE
Samadi, S., Babaie-Zadeh, M., Jutten, C., & Nayebi, K. (2004). Blind source separation by adaptive estimation of score function difference. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 9–17. https://doi.org/10.1007/978-3-540-30110-3_2
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