Abstract
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.
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