Development of Universal Decoding Algorithms for BCH codes and LDPC codes

BCH码和LDPC码通用解码算法的开发

基本信息

  • 批准号:
    15560319
  • 负责人:
  • 金额:
    $ 1.28万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 财政年份:
    2003
  • 资助国家:
    日本
  • 起止时间:
    2003 至 2004
  • 项目状态:
    已结题

项目摘要

For a given class of linear codes such that BCH codes or LDPC(Low Density Parity Check) codes, we develop universal decoders which do not depend on the statistical characteristics of the discrete memoryless channel, and obtained following results.1.We investigate the performance of the well-known universal decoder called the minimum entropy decoder. For a class of M-ary additive channels, we have derived an upper bound on the probability of decoding error when the minimum entropy decoder is employed. The obtained bound depends on the weight spectrum of the given code as well as the transition probability of the channel. Further, we have clarified a condition such that the obtained error exponent coincides with the random coding exponent as the block length of the code tends to infinity.2.In order to reduce the complexity of the universal decoder, we have proposed a new scheme called universal multistage decoder. By combining this decoder with the conventional multilevel coding scheme, the capacity of the channel can be achieved. Further, we also derive an upper bound on the probability of decoding error for a class of M-ary additive channels, when the proposed multistage decoder is employed.3.We have shown that both the minimum entropy decoder and the universal multistage decoder can be efficiently implemented by using the trellis of the code. We have also clarified the performance of the proposed universal decoder by using computer simulation.
对于给定的一类线性码,如BCH码或LDPC(低密度奇偶校验)码,我们设计了不依赖于离散无记忆信道统计特性的通用译码器,得到了以下结果:1.研究了著名的通用译码器--最小熵译码器的性能。对于一类多进制加性信道,我们推导出了采用最小熵译码器时译码错误概率的上界。所得到的界依赖于给定码的权谱以及信道的转移概率。进一步,我们阐明了当码的块长度趋于无穷大时,所得到的差错指数与随机编码指数一致的条件。2.为了降低通用译码器的复杂度,我们提出了一种新的通用多级译码器方案。通过将该译码器与传统的多级编码方案相结合,可以实现信道的容量。此外,我们还得到了一个上界的解码错误的概率为一类M进制的加性通道,当建议的多级解码器. 3.我们已经表明,无论是最小熵解码器和通用多级解码器可以有效地实现通过使用网格的代码.我们还通过计算机模拟阐明了所提出的通用解码器的性能。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Performance of Multistage Universal Decoder for Given Linear Codes over Additive Noise Channels
给定线性码多级通用解码器在加性噪声信道上的性能
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UYEMATSU Tomohiko其他文献

Error Exponents of Joint Channel Coding and Intrinsic Randomness for Memoryless Channels
无记忆通道联合通道编码的误差指数和固有随机性
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    UYEMATSU Tomohiko;MATSUTA Tetsunao;Tomohiko Uyematsu and Tetsunao Matsuta;Tomohiko Uyematsu
  • 通讯作者:
    Tomohiko Uyematsu
Joint Channel Coding and Intrinsic Randomness
联合信道编码和固有随机性
Second-Order Intrinsic Randomness for Correlated Non-Mixed and Mixed Sources
相关非混合和混合源的二阶固有随机性

UYEMATSU Tomohiko的其他文献

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{{ truncateString('UYEMATSU Tomohiko', 18)}}的其他基金

Reformulation of Information Theory by Using Smooth Renyi Entropy and Divergence
利用平滑仁义熵和散度重构信息论
  • 批准号:
    26420343
  • 财政年份:
    2014
  • 资助金额:
    $ 1.28万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Practical Slepian-Wolf Coding System by using LDPC matrices
使用 LDPC 矩阵的实用 Slepian-Wolf 编码系统
  • 批准号:
    22560362
  • 财政年份:
    2010
  • 资助金额:
    $ 1.28万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development of Universal Coding Algorithms for Sources with Large and Unbounded Alphabets
为具有大且无限制的字母表的源开发通用编码算法
  • 批准号:
    13650397
  • 财政年份:
    2001
  • 资助金额:
    $ 1.28万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Construction of Universal Channel Codes for Finite-State Channels
有限状态信道通用信道码的构建
  • 批准号:
    10650351
  • 财政年份:
    1998
  • 资助金额:
    $ 1.28万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Evaluation Method of Information Network Security
信息网络安全评价方法
  • 批准号:
    05452362
  • 财政年份:
    1993
  • 资助金额:
    $ 1.28万
  • 项目类别:
    Grant-in-Aid for General Scientific Research (B)

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