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Combinatorial codes and their decoding algorithms related to various information transmission systems

Combinatorial codes and their decoding algorithms related to various information transmission systems
各种信息传输系统相关的组合码及其译码算法
批准号:
22340016
负责人:
JIMBO Masakazu
金额:
$10.4万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
2010
资助国家:
日本
项目状态:
已结题
起止时间:
2010-04-01 至 2015-03-31

项目摘要

项目成果

JIMBO Masakazu的其他基金

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期刊论文(0)
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会议论文
DOI: 10.1016/j.inffus.2011.11.004
发表时间: 2013-04
期刊: Inf. Fusion
影响因子: --
作者: [T. Kanamori;Takashi Takenouchi]
通讯作者: T. Kanamori;Takashi Takenouchi
On the covering dimension of a linear code
关于线性码的覆盖维数
DOI: 10.1109/tit.2016.2538768
发表时间: 2016
期刊: IEEE Transaction on Information Theory
影响因子: --
作者: [Thomas Britz, Keisuke Shiromoto]
通讯作者: Keisuke Shiromoto
DOI: --
发表时间: 2014
期刊: 12th International Conference on Quantum Communication, Measurement and Computing (QCMC2014)
影响因子: --
作者: [T. S. Usuda, T. Sogabe, and K. Shiromoto]
通讯作者: and K. Shiromoto
Mutually orthogonal t-designs over C related to quantum jump codes
与量子跳跃码相关的 C 上的相互正交 t 设计
DOI: --
发表时间: 2012
期刊:
影响因子: --
作者: [Ichikawa, H, Otsuka, Y., Kanazawa, S., Yamaguchi M. K., & Kakigi, R., Masakazu Jimbo]
通讯作者: Masakazu Jimbo
124
    Existence and constructions of a complete system of mutually orthogonal partial t-designs over complex fields and its application
    Duality of statistical optimality and physical optimality for spherical designs and their constructions
    • 批准号:
      23654031
    • 项目类别:
      Grant-in-Aid for Challenging Exploratory Research
    • 资助金额:
      $2.25万
    • 财政年份:
      2011
    • 负责人:
      JIMBO Masakazu
    • 依托单位:
    Combinatorial structures and algorithms commonly included in codes and pooling designs for genetic experiments
    • 批准号:
      18340024
    • 项目类别:
      Grant-in-Aid for Scientific Research (B)
    • 资助金额:
      $9.88万
    • 财政年份:
      2006
    • 负责人:
      JIMBO Masakazu
    • 依托单位:
    Efficient algorithms of pooling experiments for gene analysis by utilizing group testing and Bayesian network