Efficient Low-Redundancy Codes for Correcting Multiple Deletions
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Abstract (arXiv)
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 ≈ 2n/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 nOmega(1). For any fixed k, we construct a binary code with ck log n redundancy that can be decoded from k deletions in Ok(n log4 n) time. The coefficient ck can be taken to be O(k2 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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 22 Jul 2015.
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