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A new demixer scheme for blind source separation using general neural network model

Lookup NU author(s): Dr Wai Lok Woo, Dr Sadettin Sali

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Abstract

A new neural network demixing scheme using a general neural network structure for the Blind Source Separation (BSS) problem for the instantaneous mixtures is proposed. It is shown that the existing Feedforward (FF) and Feedback (FB) neural network schemes can be reduced from the new general model. The new scheme is more robust and offers superior convergence properties.

Publication metadata

Author(s): Woo WL, Sali S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Sixth International Symposium on Signal Processing and its Applications

Year of Conference: 2001

Pages: 379 - 381

Publisher: IEEE

URL: http://dx.doi.org/10.1109/ISSPA.2001.950159

DOI: 10.1109/ISSPA.2001.950159

Library holdings: Search Newcastle University Library for this item

ISBN: 0780367030

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