首页> 外文期刊>IEEE Transactions on Information Theory >Bounds on Maximum Likelihood Decoding Performance for Linear Codes at Low Rates
【24h】

Bounds on Maximum Likelihood Decoding Performance for Linear Codes at Low Rates

机译:低速率下线性码的最大似然解码性能的界限

获取原文
获取原文并翻译 | 示例

摘要

For a given linear code (ensemble), upper bounds on the error probability under maximum likelihood decoding are investigated at low rates. A class of symmetric memoryless channels suitable for Bhattacharyya-type bounds, which are particularly of importance at low rates, is introduced. Over a symmetric channel, a lower bound on the error exponent is derived for a given linear code. A sufficient condition for achieving the expurgated exponent, which is the best among known error exponents at low rates, within a fixed discrepancy is given. Over a general discrete memoryless channel, the same analysis provides a lower bound on the average error exponent for an ensemble of coset codes generated by a given linear code. The bounding technique is extended to the case of generalized maximum likelihood decoding with erasure and list- decoding options.
机译:对于给定的线性码(整体),以低速率研究最大似然解码下错误概率的上限。引入了一类适用于Bhattacharyya型边界的对称无记忆通道,这在低速率下尤其重要。在对称信道上,对于给定的线性码,得出误差指数的下限。给出了在固定的差异范围内获得低指数的最佳条件,这是已知的低速率错误指数中最好的。在一般的离散无内存通道上,对于由给定线性代码生成的一组coset代码,相同的分析为平均误差指数提供了一个下限。将边界技术扩展到具有擦除和列表解码选项的广义最大似然解码的情况。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号