Backward particle message passing
Paper in proceeding, 2015
Particle methods are an established way to represent messages and perform message passing in factor graphs. Despite their common use, there are several cases for which messages are hard to compute, even in linear models. Building on results from Gaussian message passing, we demonstrate how backward particle-based messages can be computed and describe a practical application in the context of fiber-optical communications.
Approximation methods
Signal processing algorithms
Optical fiber communication
Conferences
Message passing
Wireless communication
Signal processing
Author
Henk Wymeersch
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
Naga Vishnukanth Irukulapati
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
Isaac A. Sackey
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
Pontus Johannisson
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Erik Agrell
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Vol. 2015-August 450-454 7227078
978-1-4799-1930-7 (ISBN)
Areas of Advance
Information and Communication Technology
Subject Categories
Telecommunications
Communication Systems
Signal Processing
Infrastructure
C3SE (Chalmers Centre for Computational Science and Engineering)
DOI
10.1109/SPAWC.2015.7227078
ISBN
978-1-4799-1930-7