The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Un critère d'arrêt correctement conçu pour les algorithmes de décodage itératif peut économiser un certain nombre d'itérations et conduire à une réduction considérable de la latence du système. Les algorithmes de décodage par retournement de symboles basés sur la prédiction (SFDP) ont été proposés récemment pour un décodage efficace des codes non binaires de contrôle de parité à faible densité (LDPC). Pour détecter les trames de décodage à convergence lente voire non-convergence, nous suivons le nombre d'oscillations sur la valeur de la fonction objectif au cours des itérations. Sur la base de ce numéro de suivi, nous concevons un critère d'arrêt simple pour les algorithmes SFDP. Les résultats de la simulation montrent que le critère d'arrêt proposé peut réduire considérablement le nombre d'itérations dans les régions à faible rapport signal/bruit avec une légère dégradation des performances en matière d'erreur.
Zhanzhan ZHAO
Xidian University
Xiaopeng JIAO
Xidian University
Jianjun MU
Xidian University
Qingqing LI
Xidian University
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Zhanzhan ZHAO, Xiaopeng JIAO, Jianjun MU, Qingqing LI, "A Stopping Criterion for Symbol Flipping Decoding of Non-Binary LDPC Codes" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 11, pp. 1644-1648, November 2021, doi: 10.1587/transfun.2021EAL2009.
Abstract: A properly designed stopping criterion for iterative decoding algorithms can save a number of iterations and lead to a considerable reduction of system latency. The symbol flipping decoding algorithms based on prediction (SFDP) have been proposed recently for efficient decoding of non-binary low-density parity-check (LDPC) codes. To detect the decoding frames with slow convergence or even non-convergence, we track the number of oscillations on the value of objective function during the iterations. Based on this tracking number, we design a simple stopping criterion for the SFDP algorithms. Simulation results show that the proposed stopping criterion can significantly reduce the number of iterations at low signal-to-noise ratio regions with slight error performance degradation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAL2009/_p
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@ARTICLE{e104-a_11_1644,
author={Zhanzhan ZHAO, Xiaopeng JIAO, Jianjun MU, Qingqing LI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Stopping Criterion for Symbol Flipping Decoding of Non-Binary LDPC Codes},
year={2021},
volume={E104-A},
number={11},
pages={1644-1648},
abstract={A properly designed stopping criterion for iterative decoding algorithms can save a number of iterations and lead to a considerable reduction of system latency. The symbol flipping decoding algorithms based on prediction (SFDP) have been proposed recently for efficient decoding of non-binary low-density parity-check (LDPC) codes. To detect the decoding frames with slow convergence or even non-convergence, we track the number of oscillations on the value of objective function during the iterations. Based on this tracking number, we design a simple stopping criterion for the SFDP algorithms. Simulation results show that the proposed stopping criterion can significantly reduce the number of iterations at low signal-to-noise ratio regions with slight error performance degradation.},
keywords={},
doi={10.1587/transfun.2021EAL2009},
ISSN={1745-1337},
month={November},}
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TY - JOUR
TI - A Stopping Criterion for Symbol Flipping Decoding of Non-Binary LDPC Codes
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1644
EP - 1648
AU - Zhanzhan ZHAO
AU - Xiaopeng JIAO
AU - Jianjun MU
AU - Qingqing LI
PY - 2021
DO - 10.1587/transfun.2021EAL2009
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2021
AB - A properly designed stopping criterion for iterative decoding algorithms can save a number of iterations and lead to a considerable reduction of system latency. The symbol flipping decoding algorithms based on prediction (SFDP) have been proposed recently for efficient decoding of non-binary low-density parity-check (LDPC) codes. To detect the decoding frames with slow convergence or even non-convergence, we track the number of oscillations on the value of objective function during the iterations. Based on this tracking number, we design a simple stopping criterion for the SFDP algorithms. Simulation results show that the proposed stopping criterion can significantly reduce the number of iterations at low signal-to-noise ratio regions with slight error performance degradation.
ER -