Blind source separation for non-stationary mixing

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Blind source separation for non-stationary mixing

Please use this identifier to cite or link to this item: http://hdl.handle.net/10036/3511

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Title: Blind source separation for non-stationary mixing
Author: Everson, Richard M.
Roberts, Stephen
Citation: 26 (1-2), pp. 15 - 23
Journal: Journal of VLSI Signal Processing
Date Issued: 2000
URI: http://hdl.handle.net/10036/3511
Links: http://dx.doi.org/10.1023/A:1008183014430
Abstract: Blind source separation attempts to recover independent sources which have been linearly mixed to produce observations. We consider blind source separation with non-stationary mixing, but stationary sources. The linear mixing of the independent sources is modelled as evolving according to a Markov process, and a method for tracking the mixing and simultaneously inferring the sources is presented. Observational noise is included in the model. The technique may be used for online filtering or retrospective smoothing. The tracking of mixtures of temporally correlated is examined and sampling from within a sliding window is shown to be effective for destroying temporal correlations. The method is illustrated with numerical examples.
Type: Article
Description: The original publication is available at www.springerlink.com
ISSN: 0922-5773


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