OSA's Digital Library

Optics InfoBase > Conference Papers > SPPCom > 2014 > ST2D > Page ST2D.3 © 2014 OSA

Conference Paper
Signal Processing in Photonic Communications
San Diego, California United States
July 13-17, 2014
ISBN: 978-1-55752-737-0
Symposium: Machine Learning Concepts in Optical Communication Systems (ST2D)

Stochastic Digital Backpropagation: Unifying Digital Backpropagation and the MAP Criterion

Henk Wymeersch  »View Author Affiliations


View Full Text Article

Acrobat PDF (4 KB) Open Access Note that full-text PDFs from conferences typically contain 1-3 pages of content, some or all of which might be an abstract, summary, or miscellaneous items.

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

  • Export Citation/Save Click for help


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. Article not available.

© 2014 OSA

OCIS Codes
(000.0000) General : General
(000.2700) General : General science

H. Wymeersch, "Stochastic Digital Backpropagation: Unifying Digital Backpropagation and the MAP Criterion," in Advanced Photonics for Communications, OSA Technical Digest (online) (Optical Society of America, 2014), paper ST2D.3.

Sort:  Journal  |  Reset


References are not available for this paper.

OSA is a member of CrossRef.

CrossCheck Deposited