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Robust positioning patterns
Author(s) -
Ross S. Berkowitz,
Swastik Kopparty
Publication year - 2015
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1137/1.9781611974331.ch136
Subject(s) - computer science , context (archaeology) , decoding methods , code (set theory) , constant (computer programming) , fraction (chemistry) , algorithm , wireless , theoretical computer science , window (computing) , series (stratigraphy) , property (philosophy) , position (finance) , robustness (evolution) , programming language , telecommunications , world wide web , paleontology , chemistry , set (abstract data type) , organic chemistry , biology , philosophy , biochemistry , epistemology , finance , gene , economics
In this paper, we construct large sequences and matrices with the property that the contents of any small window determine the location of the window, robustly. Such objects have found many applications in practical settings, from positioning of wireless devices to smart pens, and have recently gained some theoretical interest. In this context, we give the first explicit constructions of sequences and matrices with high rate and constant relative distance. Accompanying these efficient constructions, we also give efficient decoding algorithms, which can determine the position of the window given its contents, even if a constant fraction of the contents have been corrupted.

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