Trace Reconstruction of First-Order Reed-Muller Codewords Using Run Statistics
Shiv Pratap Singh Rathore, Navin Kashyap

TL;DR
This paper develops a method to reconstruct first-order Reed-Muller codewords from multiple traces affected by deletions, using run statistics, and demonstrates high-probability reconstruction with quadratic trace complexity.
Contribution
It introduces a novel analysis of run statistics in traces and shows efficient reconstruction of Reed-Muller codewords under deletion channels.
Findings
Reconstruction possible with high probability at O(n^2) traces
Derived an expression for expected runs in traces
Applicable to deletion probability of 1/2
Abstract
In this paper, we derive an expression for the expected number of runs in a trace of a binary sequence obtained by passing through a deletion channel that independently deletes each bit with probability . We use this expression to show that if is a codeword of a first-order Reed-Muller code, and the deletion probability is 1/2, then can be reconstructed, with high probability, from many of its traces.
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Taxonomy
TopicsAlgorithms and Data Compression · DNA and Biological Computing · Natural Language Processing Techniques
