The effect of signal non-stationarity on the performance of information-maximisation-based blind separation

M.J.T. Alphey, David Laurenson, Alan Murray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper examines the performance of a blind signal separation system that uses information maximisation techniques, when applied to signals with non-stationary characteristics. It assesses the effectiveness of different methods of removing or reducing the degree of non-stationarity of the source signals, in terms of the level of separation achieved after a fixed training period
Original languageUndefined/Unknown
Title of host publicationProceedings of the 1998 IEEE Signal Processing Society Workshop Neural Networks for Signal Processing VIII
Pages113-122
Number of pages10
DOIs
Publication statusPublished - 1 Aug 1998

Keywords / Materials (for Non-textual outputs)

  • adaptive signal detection, information theory, learning (artificial intelligence), neural nets, optimisationblind signal separation, information theory, information-maximisation, learning, neural nets, signal nonstationarity

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