Blind source separation for non-stationary mixing

DSpace/Manakin Repository

Open Research Exeter (ORE)

Blind source separation for non-stationary mixing

Please use this identifier to cite or link to this item:


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
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
ISSN: 0922-5773

Please note: Before reusing this item please check the rights under which it has been made available. Some items are restricted to non-commercial use. Please cite the published version where applicable.

Files in this item

Files Size Format View Description
vlsi.pdf 648.0Kb PDF View/Open Post-print version

This item appears in the following Collection(s)


My Account

Local Links