Synchronization Strings: Explicit Constructions, Local Decoding, and Applications
October 26, 2017 ยท Declared Dead ยท ๐ Symposium on the Theory of Computing
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Authors
Bernhard Haeupler, Amirbehshad Shahrasbi
arXiv ID
1710.09795
Category
cs.IT: Information Theory
Cross-listed
cs.DS
Citations
45
Venue
Symposium on the Theory of Computing
Last Checked
2 months ago
Abstract
This paper gives new results for synchronization strings, a powerful combinatorial object that allows to efficiently deal with insertions and deletions in various communication settings: $\bullet$ We give a deterministic, linear time synchronization string construction, improving over an $O(n^5)$ time randomized construction. Independently of this work, a deterministic $O(n\log^2\log n)$ time construction was just put on arXiv by Cheng, Li, and Wu. We also give a deterministic linear time construction of an infinite synchronization string, which was not known to be computable before. Both constructions are highly explicit, i.e., the $i^{th}$ symbol can be computed in $O(\log i)$ time. $\bullet$ This paper also introduces a generalized notion we call long-distance synchronization strings that allow for local and very fast decoding. In particular, only $O(\log^3 n)$ time and access to logarithmically many symbols is required to decode any index. We give several applications for these results: $\bullet$ For any $ฮด<1$ and $ฮต>0$ we provide an insdel correcting code with rate $1-ฮด-ฮต$ which can correct any $O(ฮด)$ fraction of insdel errors in $O(n\log^3n)$ time. This near linear computational efficiency is surprising given that we do not even know how to compute the (edit) distance between the decoding input and output in sub-quadratic time. We show that such codes can not only efficiently recover from $ฮด$ fraction of insdel errors but, similar to [Schulman, Zuckerman; TransInf'99], also from any $O(ฮด/\log n)$ fraction of block transpositions and replications. $\bullet$ We show that highly explicitness and local decoding allow for infinite channel simulations with exponentially smaller memory and decoding time requirements. These simulations can be used to give the first near linear time interactive coding scheme for insdel errors.
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