Study on reduction on average computational complexity of GMD decoding using property of bounded distance decoding

Shunsuke Ueda, Takuya Kusaka

研究成果

抄録

Recently, high reliability is required in digital communications. Research on error correcting codes are actively conducted to achieve high reliable communications. In this study, a method to reduce average computational complexity of Generalized Minimum Distance (GMD) decoding is proposed. GMD decoding can be implemented by several times bounded distance decoding (BDD). The proposed method reduces the average number of BDDs. The effectiveness of reduction on average execution time of the proposed method is confirmed against a simple method by computer simulations.

本文言語English
ホスト出版物のタイトルProceedings - 2017 5th International Symposium on Computing and Networking, CANDAR 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ584-588
ページ数5
2018-January
ISBN(電子版)9781538620878
DOI
出版ステータスPublished - 4月 23 2018
イベント5th International Symposium on Computing and Networking, CANDAR 2017 - Aomori
継続期間: 11月 19 201711月 22 2017

Other

Other5th International Symposium on Computing and Networking, CANDAR 2017
国/地域Japan
CityAomori
Period11/19/1711/22/17

ASJC Scopus subject areas

  • 人工知能
  • 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

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