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The Asymptotic Generalized Poor-Verdú Bound Achieves the BSC Error Exponent at Zero Rate

机译:渐近广义穷Verdú界以零速率实现BSC误差指数

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摘要

The generalized Poor-Verdú error lower bound for multihypothesis testing is revisited. Its asymptotic expression is established in closed-form as its tilting parameter grows to infinity. It is also shown that the asymptotic generalized bound achieves the error exponent (or reliability function) of the memoryless binary symmetric channel at zero coding rates.
机译:再次讨论了用于多假设检验的广义Poor-Verdú误差下限。当其倾斜参数增长到无穷大时,它的渐近表达式以封闭形式建立。还表明,渐近广义界以零编码率实现了无记忆二进制对称信道的误差指数(或可靠性函数)。

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