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Perspective of Statistical Learning for Nonlinear Equalization in Coherent Optical Communications

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Abstract

Modern statistical learning technologies such as deep learning have a great potential to deal with linear/nonlinear fiber impairments for future coherent optical communications. We introduce various learning techniques suited for nonlinear equalizations.

© 2014 Optical Society of America

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