A maximum likelihood decoding algorithm of Gabidulin codes in deterministic network coding

Koki Kazama, Akira Kamatsuka, Toshiyasu Matsushima

研究成果: Conference contribution

抄録

Recently, studies of linear network coding have attracted attention. This paper considers a probabilistic error model for the deterministic linear network coding. In the previous studies of error-correcting codes, Kaneko et al. proposed a decoding algorithms for probabilistic error model. This is a maximum likelihood decoding algorithm that uses the optimization method called branch and bound method. This paper constructs a new model of deterministic linear network coding and proposes a maximum likelihood decoding algorithm that uses the branch and bound method.

本文言語English
ホスト出版物のタイトルProceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ666-670
ページ数5
ISBN(電子版)9784885523090
出版ステータスPublished - 2017 2 2
イベント3rd International Symposium on Information Theory and Its Applications, ISITA 2016 - Monterey, United States
継続期間: 2016 10 302016 11 2

Other

Other3rd International Symposium on Information Theory and Its Applications, ISITA 2016
国/地域United States
CityMonterey
Period16/10/3016/11/2

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 情報システム
  • 信号処理
  • 図書館情報学

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