Backward particle message passing
Paper in proceedings, 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 and Antenna Systems, Communication Systems

Other publications Research

Naga Vishnukanth Irukulapati

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Other publications Research

Isaac A. Sackey

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Pontus Johannisson

Chalmers, Microtechnology and Nanoscience (MC2), Photonics

Other publications Research

Erik Agrell

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Other publications Research

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

450-454 7227078

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

Publication data connected to DOI

ISBN

978-1-4799-1930-7

More information

Latest update

11/23/2018

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