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

页码：41 / 48

页数：8

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