License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ITCS.2021.20
URN: urn:nbn:de:0030-drops-135595
URL: https://drops.dagstuhl.de/opus/volltexte/2021/13559/
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Chen, Xi ; De, Anindya ; Lee, Chin Ho ; Servedio, Rocco A. ; Sinha, Sandip

Polynomial-Time Trace Reconstruction in the Low Deletion Rate Regime

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LIPIcs-ITCS-2021-20.pdf (0.6 MB)


Abstract

In the trace reconstruction problem, an unknown source string x ∈ {0,1}ⁿ is transmitted through a probabilistic deletion channel which independently deletes each bit with some fixed probability δ and concatenates the surviving bits, resulting in a trace of x. The problem is to reconstruct x given access to independent traces. Trace reconstruction of arbitrary (worst-case) strings is a challenging problem, with the current state of the art for poly(n)-time algorithms being the 2004 algorithm of Batu et al. [T. Batu et al., 2004]. This algorithm can reconstruct an arbitrary source string x ∈ {0,1}ⁿ in poly(n) time provided that the deletion rate δ satisfies δ ≤ n^{-(1/2 + ε)} for some ε > 0. In this work we improve on the result of [T. Batu et al., 2004] by giving a poly(n)-time algorithm for trace reconstruction for any deletion rate δ ≤ n^{-(1/3 + ε)}. Our algorithm works by alternating an alignment-based procedure, which we show effectively reconstructs portions of the source string that are not "highly repetitive", with a novel procedure that efficiently determines the length of highly repetitive subwords of the source string.

BibTeX - Entry

@InProceedings{chen_et_al:LIPIcs.ITCS.2021.20,
  author =	{Xi Chen and Anindya De and Chin Ho Lee and Rocco A. Servedio and Sandip Sinha},
  title =	{{Polynomial-Time Trace Reconstruction in the Low Deletion Rate Regime}},
  booktitle =	{12th Innovations in Theoretical Computer Science Conference (ITCS 2021)},
  pages =	{20:1--20:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-177-1},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{185},
  editor =	{James R. Lee},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/13559},
  URN =		{urn:nbn:de:0030-drops-135595},
  doi =		{10.4230/LIPIcs.ITCS.2021.20},
  annote =	{Keywords: trace reconstruction}
}

Keywords: trace reconstruction
Collection: 12th Innovations in Theoretical Computer Science Conference (ITCS 2021)
Issue Date: 2021
Date of publication: 04.02.2021


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