Theis, Fabian J. (2004) Uniqueness of complex and multidimensional independent component analysis. SIGNAL PROCESSING, 84 (5). pp. 951-956. ISSN 0165-1684, 1879-2677
Full text not available from this repository. (Request a copy)Abstract
A complex version of the Darmois-Skitovitch theorem is proved using a multivariate extension of the latter by Ghurye and Olkin. This makes it possible to calculate the indeterminacies of independent component analysis (ICA) with complex variables and coefficients. Furthermore, the multivariate Darmois-Skitovitch theorem is used to show uniqueness of multidimensional ICA, where only groups of sources are mutually independent. (C) 2004 Elsevier B.V. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | BLIND SEPARATION; complex ICA; multidimensional ICA; separability |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang > Arbeitsgruppe Dr. Fabian Theis |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 21 Jul 2021 07:15 |
| Last Modified: | 21 Jul 2021 07:15 |
| URI: | https://pred.uni-regensburg.de/id/eprint/37728 |
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