@inproceedings{2b18967433b44aa6ab0ab9cd78461497,
title = "Mutual information minimization for under-determined blind source separation",
abstract = "An important step of sparse representation technique for under-determined BSS (Blind Source Separation) is the estimation of the mixing matrix. In this paper, a new method to estimate the mixing matrix is proposed. The objective is to find the mixing matrix to minimize the mutual information of the estimated sources. An algorithm for the learning of the mixing matrix is proposed by the natural gradient. Simulation results of speech separation demonstrate the effectiveness of our method.",
keywords = "Mutual information, Sparse representation, Under-determined blind source separation",
author = "Fuxiang Wang and Jun Zhang",
year = "2009",
doi = "10.1109/CISE.2009.5365757",
language = "英语",
isbn = "9781424445073",
series = "Proceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009",
booktitle = "Proceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009",
note = "2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009 ; Conference date: 11-12-2009 Through 13-12-2009",
}