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Sequential non-Gaussian pattern recognition with supervised learning

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2 Author(s)

This paper considers binary pattern recognition of a non-Gaussian pattern in Gaussian noise using supervised learning. The scheme is both structure and parameter adaptive. To facilitate a feasible solution, certain judicious approximations are used. Two examples are presented to demonstrate the learning capability of the proposed algorithms.

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Information Theory, IEEE Transactions on  (Volume:19 ,  Issue: 4 )