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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
Une limite supérieure du taux d'erreur de trame (FER) pour les codes convolutifs concaténés généralisés (GCCC) avec décodage itératif est présentée. Le GCCC est un code concaténé généralisé qui consiste en un code convolutif binaire interne et des codes Reed-Solomon externes. La limite FER est dérivée de l'énumérateur de poids moyen du code interne. Nous pouvons optimiser la configuration du code externe puisque la limite FER peut être facilement calculée. Certains profils de codes externes optimaux seront affichés. Les résultats montrent que la combinaison de GCCC et de décodage itératif atteint une probabilité d'erreur de trame assez faible (PB
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Tadashi WADAYAMA, Koichiro WAKASUGI, Masao KASAHARA, "An Upper Bound on Frame Error Rate for Generalized Concatenated Convolutional Codes" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 6, pp. 1126-1130, June 1999, doi: .
Abstract: An upper bound on frame error rate (FER) for generalized concatenated convolutional codes (GCCC's) with iterative decoding is presented. The GCCC is a generalized concatenated code which consists of an inner binary convolutional code and outer Reed-Solomon codes. The FER bound is derived from the average weight enumerator of the inner code. We can optimize the configuration of the outer code since the FER bound can be easily computed. Some optimum outer code profiles will be shown. The results show that combination of GCCC and iterative decoding attains fairly small frame error probability (PB
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_6_1126/_p
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@ARTICLE{e82-a_6_1126,
author={Tadashi WADAYAMA, Koichiro WAKASUGI, Masao KASAHARA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Upper Bound on Frame Error Rate for Generalized Concatenated Convolutional Codes},
year={1999},
volume={E82-A},
number={6},
pages={1126-1130},
abstract={An upper bound on frame error rate (FER) for generalized concatenated convolutional codes (GCCC's) with iterative decoding is presented. The GCCC is a generalized concatenated code which consists of an inner binary convolutional code and outer Reed-Solomon codes. The FER bound is derived from the average weight enumerator of the inner code. We can optimize the configuration of the outer code since the FER bound can be easily computed. Some optimum outer code profiles will be shown. The results show that combination of GCCC and iterative decoding attains fairly small frame error probability (PB
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - An Upper Bound on Frame Error Rate for Generalized Concatenated Convolutional Codes
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1126
EP - 1130
AU - Tadashi WADAYAMA
AU - Koichiro WAKASUGI
AU - Masao KASAHARA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 1999
AB - An upper bound on frame error rate (FER) for generalized concatenated convolutional codes (GCCC's) with iterative decoding is presented. The GCCC is a generalized concatenated code which consists of an inner binary convolutional code and outer Reed-Solomon codes. The FER bound is derived from the average weight enumerator of the inner code. We can optimize the configuration of the outer code since the FER bound can be easily computed. Some optimum outer code profiles will be shown. The results show that combination of GCCC and iterative decoding attains fairly small frame error probability (PB
ER -