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Machine learning concepts in coherent optical communication systems

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Abstract

Powerful statistical signal processing methods, used by the machine learning community, are addressed and linked to current problems in coherent optical communication. Bayesian filtering methods are presented and applied for nonlinear dynamic state tracking

© 2014 Optical Society of America

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