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.
Wireless communication
Optical fiber communication
Approximation methods
Signal processing algorithms
Message passing
Signal processing
Conferences
Author
Henk Wymeersch
Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner
Naga Vishnukanth Irukulapati
Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner
Isaac A. Sackey
Chalmers University of Technology
Pontus Johannisson
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Erik Agrell
Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner
IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
450-454 7227078
978-1-4799-1930-7 (ISBN)
Areas of Advance
Information and Communication Technology
Subject Categories (SSIF 2011)
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