论文标题
渐近通用较差的verdu结合以零速率达到BSC误差指数
The Asymptotic Generalized Poor-Verdu Bound Achieves the BSC Error Exponent at Zero Rate
论文作者
论文摘要
重新审视了多型假设测试的广义较差的误差下限。随着其倾斜参数生长到无穷大，其渐近表达以封闭形式建立。还表明，在零编码速率下，渐近通用结合实现了无内存二进制对称通道的误差指数（或可靠性函数）。
The generalized Poor-Verdu 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.
