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Spatiotemporal blind source separation using double-sided approximate joint diagonalization

Theis, Fabian J. and Gruber, Peter and Keck, I. R. and Meyer-Bäse, A. and Lang, Elmar (2005) Spatiotemporal blind source separation using double-sided approximate joint diagonalization. In: 13. European Signal Processing Conference, EUSIPCO 2005; 4 - 8 September 2005, Antalya, Turkey; proceedings; conference CD.

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In independent component analysis (ICA) the common task is to achieve either spatial or temporal independence by linearly mapping into a feature space. If the data possesses both spatial and temporal structures such as a sequence of images or 3d-scans taken at fixed time intervals, we can require the transformed data to be as independent as possible in both domains. First introduced by Stone ...


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Item type:Book section
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
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Dewey Decimal Classification:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Deposited on:15 Oct 2010 08:51
Last modified:15 Oct 2010 08:51
Item ID:17324
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