Possibilistic Coding: Error Detection vs. Error Correction

被引：0
|
作者：
Bortolussi, Luca [1 ]
Sgarro, Andrea [1 ]
机构：
[1] Univ Trieste, Dept Math & Informat, I-34127 Trieste, Italy
来源：
COMBINING SOFT COMPUTING AND STATISTICAL METHODS IN DATA ANALYSIS | 2010年 / 77卷
关键词：
ENTROPIES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Possibilistic information theory is a flexible approach to old and new forms of coding: it is based on possibilities and patterns, rather than pointwise probabilities and traditional statistics. Here we fill up a gap of the possibilistic approach, and extend it to the case of error detection, while so far only error correction had been considered.
引用
收藏
页码：41 / 48
页数：8
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