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Dynamic Judgment in Optical Transmission Links by Applying and Comparing Machine Learning Algorithms

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Abstract

The effectiveness of machine learning to mitigate adverse impact of nonlinear phase noise in optical transmission links is illustrated. Besides, related DSP modules are implemented to compare performance of Adaboost, Naive Bayes and Naive Bayes-EM.

© 2016 Optical Society of America

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