Georgiev, P. and Theis, Fabian J. and Cichocki, A. (2005) Sparse Component Analysis and Blind Source Separation of Underdetermined Mixtures. IEEE Transactions on Neural Networks 16 (4), pp. 992-996.
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Abstract
We solve the problem of identifying matrices S and A knowing only their multiplication X = AS, under some conditions, expressed either in terms of A and sparsity of S (identifiability conditions), or in terms of X (Sparse Component Analysis conditions). We present algorithms for such identification and illustrate them by examples.
| Item Type: | Article |
|---|---|
| Additional information (public): | Lang als Autor nicht genannt /Okt.. 2010 kel |
| Institutions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang > Arbeitsgruppe Dr. Fabian Theis |
| Projects: | Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht |
| Subjects: | 500 Science > 530 Physics 500 Science > 570 Life sciences |
| Status: | Published |
| Refereed: | Yes, this version has been refereed |
| Created at the University of Regensburg: | Yes |
| Owner: | Redakteur Physik |
| Deposited On: | 20 Mar 2007 |
| Last Modified: | 01 Oct 2010 11:23 |
| Item ID: | 1611 |
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