A Machine Learning-Based Detection Technique for Optical Fiber Nonlinearity Mitigation

27 Feb 2019Abdelkerim AmariXiang LinOctavia A. DobreRamachandran VenkatesanAlex Alvarado

We investigate the performance of a machine learning classification technique, called the Parzen window, to mitigate the fiber nonlinearity in the context of dispersion managed and dispersion unmanaged systems. The technique is applied for detection at the receiver side, and deals with the non-Gaussian nonlinear effects by designing improved decision boundaries... (read more)

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