Simulated Annealing for Independent Component Analysis Over Galois Fields

Independent Component Analysis over finite fields is an unsupervised signal processing problem that poses a challenging combinatorial optimization task. In this context, a solution based on Simulated Annealing, with an entropy-based objective function, is proposed. The empirical results demonstrate...

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Bibliographic Details
Published in:IEEE signal processing letters 2018-04, Vol.25 (4), p.516-520
Main Authors: Silva, Daniel G., Attux, Romis
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Combinatorial optimization
Correlation
Cost function
Entropy
finite fields
Independent Component Analysis (ICA)
Signal processing algorithms
Simulated annealing
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Summary:Independent Component Analysis over finite fields is an unsupervised signal processing problem that poses a challenging combinatorial optimization task. In this context, a solution based on Simulated Annealing, with an entropy-based objective function, is proposed. The empirical results demonstrate the effectiveness of the method, with a performance competitive or superior to that of the reference techniques, at an inferior asymptotic computational cost.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2018.2803619