Binarizations in Random Number Generation

被引：0
|
作者：
Pae, Sung-il [1 ]
机构：
[1] Hongik Univ, Dept Comp Engn, Seoul, South Korea
来源：
2016 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY | 2016年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Extracting procedures produce unbiased random bits from biased coin flips. Binarizations take inputs from an m-faced dice and produce bit sequences to be fed into a (binary) extracting procedure to obtain random bits, and this can be done in an entropy-preserving manner, without loss of information. Such a procedure has been proposed by Zhou and Bruck [1]. We discuss a family of such entropy-preserving processes that we call complete binarizations.
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收藏
页码：2923 / 2927
页数：5
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