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Expert Mixture Methods for Adaptive Channel Equalization

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Harrington, Edward

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Springer

Abstract

Mixture of expert algorithms are able to achieve a total loss close to the total loss of the best expert over a sequence of examples. We consider the use of mixture of expert algorithms applied to the signal processing problem of channel equalization. We

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Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003

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