Limits to List Decoding of Insertions and Deletions

被引:0
作者
Wachter-Zeh, Antonia [1 ]
机构
[1] Tech Univ Munich, Inst Commun Engn, Munich, Germany
来源
2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2017年
关键词
insertions; deletions; Levenshtein metric; list decoding; Varshamov-Tenengolts (VT) codes; CODES; RECONSTRUCTION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
List decoding of insertions and deletions in the Levenshtein metric is considered. In this paper, a Johnson-like upper bound on the maximum list size when decoding in the Levenshtein metric is derived. This bound depends only on the length and minimum Levenshtein distance of the code, the length of the received word, and the alphabet size. It shows that polynomial-time list decoding beyond half the Levenshtein distance is possible for many parameters. For example, list decoding of two insertions/deletions with the well-known Varshamov-Tenengolts (VT) codes is feasible. Further, we also show a lower bound on list decoding VT codes and an efficient list decoding algorithm for two insertions/deletions with VT codes.
引用
收藏
页码:1948 / 1952
页数:5
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