Moderate Deviations in Channel Coding

被引：62
|
作者：
Altug, Yucel [1 ]
Wagner, Aaron B. [1 ]
机构：
[1] Cornell Univ, Sch Elect & Comp Engn, Ithaca, NY 14853 USA
来源：
IEEE TRANSACTIONS ON INFORMATION THEORY | 2014年 / 60卷 / 08期
基金：
美国国家科学基金会;
关键词：
Channel coding; error probability; moderate deviations; INFORMATION; PROBABILITY; THEOREM;
D O I：
10.1109/TIT.2014.2323418
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We consider block codes whose rate converges to the channel capacity with increasing blocklength at a certain speed and examine the best possible decay of the probability of error. For discrete memoryless channels, we prove that a moderate deviation principle holds for all convergence rates between the large deviation and the central limit theorem regimes.
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页码：4417 / 4426
页数：10
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