Blind source separation for non-stationary mixing

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Blind source separation for non-stationary mixing

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dc.contributor.author Everson, Richard M. en_US
dc.contributor.author Roberts, Stephen en_US
dc.date.accessioned 2012-04-25T15:59:46Z en_US
dc.date.accessioned 2013-03-20T12:10:07Z
dc.date.issued 2000 en_US
dc.description.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. en_GB
dc.identifier.citation 26 (1-2), pp. 15 - 23 en_GB
dc.identifier.uri http://hdl.handle.net/10036/3511 en_US
dc.language.iso en en_GB
dc.relation.url http://dx.doi.org/10.1023/A:1008183014430 en_GB
dc.title Blind source separation for non-stationary mixing en_GB
dc.type Article en_GB
dc.date.available 2012-04-25T15:59:46Z en_US
dc.date.available 2013-03-20T12:10:07Z
dc.identifier.issn 0922-5773 en_US
exeter.contacts.depositing-owner-email Everson, Richard <R.M.Everson@exeter.ac.uk> en_US
exeter.contacts.owner-email Everson, Richard <R.M.Everson@exeter.ac.uk> en_US
dc.description The original publication is available at www.springerlink.com en_GB
dc.identifier.journal Journal of VLSI Signal Processing en_GB
pubs.organisational-data /Symplectic Joint Venture en_US
pubs.organisational-data /Symplectic Joint Venture/Exeter en_US
pubs.organisational-data /Symplectic Joint Venture/Exeter/All Exeter Users en_US
pubs.organisational-data /Symplectic Joint Venture/Exeter/College of Engineering, Mathematics & Physical Sciences en_US
pubs.organisational-data /Symplectic Joint Venture/Exeter/College of Engineering, Mathematics & Physical Sciences/All Academic Staff (CEMPS) en_US
pubs.organisational-data /Symplectic Joint Venture/Exeter/College of Engineering, Mathematics & Physical Sciences/All Researchers (R+T&R) (CEMPS) en_US
pubs.organisational-data /Symplectic Joint Venture/Exeter/College of Engineering, Mathematics & Physical Sciences/Computing en_US


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