Gutch, Harold W. and Gruber, Peter and Yeredor, Arie and Theis, Fabian J. (2012) ICA over finite fields-Separability and algorithms. SIGNAL PROCESSING, 92 (8). pp. 1796-1808. ISSN 0165-1684, 1879-2677
Full text not available from this repository. (Request a copy)Abstract
We transfer the ICA model to the case where the underlying field is not the set of teals but an arbitrary finite field. We give conditions for separability of the model, pointing out existing parallels to the real case. Three algorithms capable of solving the task are suggested and we demonstrate their viability through simulations and a possible application of the model. (c) 2011 Elsevier B.V. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | INDEPENDENT COMPONENT ANALYSIS; BLIND SOURCE SEPARATION; ICA; Galois field; Finite field; Tomlinson |
| Subjects: | 000 Computer science, information & general works > 004 Computer science |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 11 May 2020 09:08 |
| Last Modified: | 11 May 2020 09:08 |
| URI: | https://pred.uni-regensburg.de/id/eprint/18421 |
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