@inproceedings{c6b18cfbefaf4e87a32748b3dc9387b9,
title = "Multidimensional decoding networks for trapping set analysis",
abstract = "We present a novel multidimensional network model as a means to analyze decoder failure and characterize trapping sets of graph-based codes. We identify a special class of these decoding networks, which we call transitive networks, and show how they may be used to identify trapping sets and inducing sets. Many codes have transitive decoding network representations. We conclude by investigating the decoding networks of codes arising from product, half-product, and protograph code constructions.",
keywords = "Finite state machines, Iterative decoding, LDPC codes, Multidimensional decoding networks, Redundancy, Trapping sets",
author = "Allison Beemer and Kelley, {Christine A.}",
year = "2017",
doi = "10.1007/978-3-319-66278-7_2",
language = "English (US)",
isbn = "9783319662770",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "11--20",
editor = "Barbero, {Angela I.} and Vitaly Skachek and Oyvind Beck",
booktitle = "Coding Theory and Applications - 5th International Castle Meeting, ICMCTA 2017,Proceedings",
note = "5th International Castle Meeting on Coding Theory and Applications, ICMCTA 2017 ; Conference date: 28-08-2017 Through 31-08-2017",
}