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Blind source separation based on variable step length natural gradient algorithm

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3 Author(s)
Ji Ce ; Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Tang Baocheng ; Wang Jinyu

This paper proposes an improved blind separation algorithm based on natural gradient. The traditional natural gradient algorithm is improved by a suitable nonlinear activation function and auto-adaptive step length. The effectiveness of the proposed algorithm can be shown in the simulation of speech signals separation.

Published in:

Awareness Science and Technology (iCAST), 2011 3rd International Conference on

Date of Conference:

27-30 Sept. 2011