We propose a new generalized ICA framework in the form of a multi-layer perceptron as a density estimator. We adopt an optimization strategy based on two criteria: a minimum reconstruction error and a minimum distance from a uniform distribution. Some simulation results are also reported to validate the proposed algorithm.
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