Stochastic digital backpropagation: Unifying digital backpropagation and the MAP criterion

Paper in proceeding, 2014

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.