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Exact Random Coding Exponents for Erasure Decoding

机译:用于擦除解码的精确随机编码指数

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Random coding of channel decoding with an erasure option is studied. By analyzing the large deviations behavior of the code ensemble, we obtain exact single-letter formulas for the error exponents in lieu of Forney's lower bounds. The analysis technique we use is based on an enhancement and specialization of tools for assessing the statistical properties of certain distance enumerators. We specialize our results to the setup of the binary symmetric channel case with uniform random coding distribution and derive an explicit expression for the error exponent which, unlike Forney's bounds, does not involve optimization over two parameters. We also establish the fact that for this setup, the difference between the exact error exponent corresponding to the probability of undetected decoding error and the exponent corresponding to the erasure event is equal to the threshold parameter. Numerical calculations indicate that for this setup, as well as for a Z-channel, Forney's bound coincides with the exact random coding exponent.
机译:研究了带有擦除选项的信道解码的随机编码。通过分析代码集合的大偏差行为,我们获得了错误指数的精确单字母公式,代替了Forney的下界。我们使用的分析技术基于工具的增强和专业化,用于评估某些距离枚举器的统计属性。我们将结果专门用于具有均匀随机编码分布的二进制对称信道情况的设置,并为误差指数导出一个明确的表达式,该表达式与Forney的边界不同,不涉及两个参数的优化。我们还建立了以下事实:对于此设置,与未检测到的解码错误的概率相对应的精确错误指数与与擦除事件相对应的指数之间的差等于阈值参数。数值计算表明,对于这种设置以及Z通道,Forney的边界与精确的随机编码指数一致。

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