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Complete Blind Subspace Deconvolution

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 Green open access

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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.ucl.ac.uk/id/eprint/1433165
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