English

Low Autocorrelation Binary Sequences

Statistical Mechanics 2016-03-25 v2 Combinatorics Optimization and Control

Abstract

Binary sequences with minimal autocorrelations have applications in communication engineering, mathematics and computer science. In statistical physics they appear as groundstates of the Bernasconi model. Finding these sequences is a notoriously hard problem, that so far can be solved only by exhaustive search. We review recent algorithms and present a new algorithm that finds optimal sequences of length NN in time Θ(N1.73N)\Theta(N\,1.73^N). We computed all optimal sequences for N66N\leq 66 and all optimal skewsymmetric sequences for N119N\leq 119.

Cite

@article{arxiv.1512.02475,
  title  = {Low Autocorrelation Binary Sequences},
  author = {Tom Packebusch and Stephan Mertens},
  journal= {arXiv preprint arXiv:1512.02475},
  year   = {2016}
}

Comments

17 pages, 4 figures

R2 v1 2026-06-22T12:04:14.837Z