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Applying Bayesian networks and belief propagation to error correction coding


Olding, WC and Olivier, JC and Salmon, BP, Applying Bayesian networks and belief propagation to error correction coding, ANZIAM Journal, 55 pp. C96-C109. ISSN 1446-1811 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Austral. Mathematical Soc.

Official URL:

DOI: doi:10.21914/anziamj.v55i0.7817


Telecommunication standards utilise numerous different subsystems to improve the quality of voice and data communications. One of these subsystems is tasked with error detection and control within the transmitted streams. This is accomplished using numerous different error correction codes for various scenarios. This article investigates the use of a Bayesian network as a universal channel decoder for the two main branches of algebraic codes. This graph-based approach is visually intuitive and is found to produce similar results to the best performing decoders in use today. A graphical representation of a multi-path channel equaliser is incorporated into the Bayesian network, obtaining near optimal performance.

Item Details

Item Type:Refereed Article
Keywords:error correction codes, low density parity check codes, belief propagation
Research Division:Engineering
Research Group:Communications engineering
Research Field:Signal processing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Olding, WC (Mr Willem Olding)
UTAS Author:Olivier, JC (Professor JC Olivier)
UTAS Author:Salmon, BP (Dr Brian Salmon)
ID Code:97843
Year Published:2014
Deposited By:Engineering
Deposited On:2015-01-15
Last Modified:2017-11-01

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