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  • 标题:Efficient Low-Redundancy Codes for Correcting Multiple Deletions
  • 本地全文:下载
  • 作者:Joshua Brakensiek ; Venkatesan Guruswami ; Samuel Zbarsky
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2015
  • 卷号:2015
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    We consider the problem of constructing binary codes to recover from k -bit deletions with efficient encoding/decoding, for a fixed k . The single deletion case is well understood, with the Varshamov-Tenengolts-Levenshtein code from 1965 giving an asymptotically optimal construction with 2 n n codewords of length n , i.e., at most log n bits of redundancy. However, even for the case of two deletions, there was no known explicit construction with redundancy less than n (1) .

    For any fixed k , we construct a binary code with c k log n redundancy that can be decoded from k deletions in O k ( n log 4 n ) time. The coefficient c k can be taken to be O ( k 2 log k ) , which is only quadratically worse than the optimal, non-constructive bound of O ( k ) . We also indicate how to modify this code to allow for a combination of up to k insertions and deletions.

    We also note that among linear codes capable of correcting k deletions, the ( k + 1 ) -fold repetition code is essentially the best possible.

  • 关键词:Edit Distance ; error correction ; explicit construction ; hashing ; Pseudorandomness
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