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Open Access Green as soon as Postprint is submitted to ZB.
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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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
ICA; Galois field; Finite field; Tomlinson; INDEPENDENT COMPONENT ANALYSIS; BLIND SOURCE SEPARATION
ISSN (print) / ISBN
0165-1684
e-ISSN
1872-7557
Journal
Signal Processing
Quellenangaben
Volume: 92,
Issue: 8,
Pages: 1796-1808
Publisher
Elsevier
Non-patent literature
Publications
Reviewing status
Peer reviewed