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Towards Adaptive Blind Extraction of Post-Nonlinearly Mixed Signals

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2 Author(s)
Wai Yie Leong ; Dept. of Electron. & Electr. Eng., Imperial Coll. London, London ; Mandic, D.P.

A novel approach which extends blind source extraction (BSE) of one or group of sources to the case of post-nonlinear mixtures is proposed. This is achieved by an adaptive algorithm in which the cost function jointly estimates the kurtosis and a measure of nonlinearity. The analysis of both the quantitative and qualitative performance is provided, and simulation results are presented which illustrate the validity of the proposed approach.

Published in:

Machine Learning for Signal Processing, 2006. Proceedings of the 2006 16th IEEE Signal Processing Society Workshop on

Date of Conference:

6-8 Sept. 2006