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Abstract

Methods and apparatus for recovering a desired signal from a composite signal. In one method, sample-based information maximization techniques for blind deconvolution are utilized to learn a filter (22) which removes undesired dependencies from the composite signal. Entropy as an expectation over individual samples of the composite signal is maximized. In another method, dependencies of the composite signal are selectively removed by learning a first filter (42) that removes the desired dependencies and outputs a filtered signal. The filtered signal is used as the learning material for a second filter (44) such that the second filter learns to remove only the remaining dependencies (undesired dependencies) from the filtered signal. The composite signal is applied to the second filter (44) which thereby removes the undesired dependencies.

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