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ICA over finite fields - separability and algorithms.

Signal Process. 92, 1796-1808 (2012)
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter ICA; Galois field; Finite field; Tomlinson; INDEPENDENT COMPONENT ANALYSIS; BLIND SOURCE SEPARATION
ISSN (print) / ISBN 0165-1684
e-ISSN 1872-7557
Zeitschrift Signal Processing
Quellenangaben Band: 92, Heft: 8, Seiten: 1796-1808 Artikelnummer: , Supplement: ,
Verlag Elsevier
Begutachtungsstatus