Stochastic digital backpropagation: Unifying digital backpropagation and the MAP criterion
Paper in proceedings, 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.

Author

Henk Wymeersch

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

Optics InfoBase Conference Papers: Signal Processing in Photonic Communications, SPPCom 2014, San Diego, CA, United States, 13-17 July 2014

2162-2701 (ISSN)

paper ST2D.3-

Subject Categories

Signal Processing

DOI

10.1364/SPPCOM.2014.ST2D.3

ISBN

978-1-55752-737-0

More information

Created

10/7/2017