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Performance analysis of over-determined noisy ICA: Bayesian approach versus signal transformation

Lookup NU author(s): Yuanjia Wu, Dr Wai Lok Woo, Emeritus Professor Satnam Dlay


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This paper proposes a new analysis on two robust methods for solving the blind source separation problem of noisy linear over-determined mixtures using 2-Stage ICA and Bayesian approach. A new method has also been developed to determine the optimal SNR threshold as the selection index for choosing the better method under the varying influence of the noise levels. An experimental simulation has been analytically conducted to verify the proposed method. An in-depth analysis has been carried out between the two methods regarding to their different performances through out the noise level from -10dB to 30dB. It is further shown that the threshold selection can be generalized to more complex cases that have the same ratio between the number of observed signals and the number of sources. © 2008 IEEE.

Publication metadata

Author(s): Wu Y, Woo WL, Dlay SS

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 6th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2008)

Year of Conference: 2008

Pages: 147-151

Publisher: IEEE


DOI: 10.1109/CSNDSP.2008.4610707

Library holdings: Search Newcastle University Library for this item

ISBN: 9781424418756