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Stochastic Digital Backpropagation: Unifying Digital Backpropagation and the MAP Criterion

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Abstract

Digital backpropagation gained popularity due to its ability to combat deterministic nonlinear effects. Starting from the maximum a posteriori criterion and building on tools from machine learning, we are able to additionally combat certain stochastic nonlinear effects.

© 2014 Optical Society of America

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