On the decoding of Barnes-Wall lattices

Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; Loic Brunel

doi:10.1109/ISIT44484.2020.9173976

On the decoding of Barnes-Wall lattices

Vincent Corlay
, Joseph J. Boutros
, Philippe Ciblat
, Loic Brunel

Institut Polytechnique de Paris
Mitsubishi Electric R and D Centre Europe
Texas A&M University at Qatar

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

We present new efficient recursive decoders for the Barnes-Wall lattices based on their squaring construction. The analysis of the new decoders reveals a quasi-quadratic complexity in the lattice dimension. The error rate is shown to be close to the universal lower bound in dimensions 64 and 128.

langue originale	Anglais
titre	2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	519-524
Nombre de pages	6
ISBN (Electronique)	9781728164328
Les DOIs	https://doi.org/10.1109/ISIT44484.2020.9173976
état	Publié - 1 juin 2020
Evénement	2020 IEEE International Symposium on Information Theory, ISIT 2020 - Los Angeles, États-Unis Durée: 21 juil. 2020 → 26 juil. 2020

Série de publications

Nom	IEEE International Symposium on Information Theory - Proceedings
Volume	2020-June
ISSN (imprimé)	2157-8095

Une conférence

Une conférence	2020 IEEE International Symposium on Information Theory, ISIT 2020
Pays/Territoire	États-Unis
La ville	Los Angeles
période	21/07/20 → 26/07/20

Accès au document

10.1109/ISIT44484.2020.9173976

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Contient cette citation

Corlay, V., Boutros, J. J., Ciblat, P., & Brunel, L. (2020). On the decoding of Barnes-Wall lattices. Dans 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings (p. 519-524). Article 9173976 (IEEE International Symposium on Information Theory - Proceedings; Vol 2020-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT44484.2020.9173976

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title = "On the decoding of Barnes-Wall lattices",

abstract = "We present new efficient recursive decoders for the Barnes-Wall lattices based on their squaring construction. The analysis of the new decoders reveals a quasi-quadratic complexity in the lattice dimension. The error rate is shown to be close to the universal lower bound in dimensions 64 and 128.",

author = "Vincent Corlay and Boutros, \{Joseph J.\} and Philippe Ciblat and Loic Brunel",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Symposium on Information Theory, ISIT 2020 ; Conference date: 21-07-2020 Through 26-07-2020",

year = "2020",

month = jun,

day = "1",

doi = "10.1109/ISIT44484.2020.9173976",

language = "English",

series = "IEEE International Symposium on Information Theory - Proceedings",

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Corlay, V, Boutros, JJ, Ciblat, P & Brunel, L 2020, On the decoding of Barnes-Wall lattices. Dans 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings., 9173976, IEEE International Symposium on Information Theory - Proceedings, VOL. 2020-June, Institute of Electrical and Electronics Engineers Inc., p. 519-524, 2020 IEEE International Symposium on Information Theory, ISIT 2020, Los Angeles, États-Unis, 21/07/20. https://doi.org/10.1109/ISIT44484.2020.9173976

On the decoding of Barnes-Wall lattices. / Corlay, Vincent; Boutros, Joseph J.; Ciblat, Philippe et al.
2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 519-524 9173976 (IEEE International Symposium on Information Theory - Proceedings; Vol 2020-June).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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AB - We present new efficient recursive decoders for the Barnes-Wall lattices based on their squaring construction. The analysis of the new decoders reveals a quasi-quadratic complexity in the lattice dimension. The error rate is shown to be close to the universal lower bound in dimensions 64 and 128.

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DO - 10.1109/ISIT44484.2020.9173976

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BT - 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings

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On the decoding of Barnes-Wall lattices

Résumé

Série de publications

Une conférence

Accès au document

Autres fichiers et liens

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