Szabo, Z;
(2009)
Complete Blind Subspace Deconvolution.
In: Adali, T and Jutten, C and Romano, JMT and Barros, AK, (eds.)
Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009. Proceedings.
(138 - 145).
Springer-Verlag Berlin Heidelberg
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Abstract
In this paper we address the blind subspace deconvolution (BSSD) problem; an extension of both the blind source deconvolution (BSD) and the independent subspace analysis (ISA) tasks. While previous works have been focused on the undercomplete case, here we extend the theory to complete systems. Particularly, we derive a separation technique for the complete BSSD problem: we solve the problem by reducing the estimation task to ISA via linear prediction. Numerical examples illustrate the efficiency of the proposed method.
| Type: | Book chapter |
|---|---|
| Title: | Complete Blind Subspace Deconvolution |
| Event: | International Conference on Independent Component Analysis and Signal Separation (ICA) |
| Location: | Paraty, Brazil |
| Dates: | 2009-03-15 - 2009-03-18 |
| ISBN-13: | 978-3-642-00598-5 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-642-00599-2_18 |
| Publisher version: | http://dx.doi.org/10.1007/978-3-642-00599-2_18 |
| Language: | English |
| Additional information: | This is the author's accepted version of this published article. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-00599-2_18 |
| Keywords: | complete blind subspace deconvolution, independent subspace analysis, linear prediction, separation principle |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1433165 |
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