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A New Upper Bound on Codes Decodable into Size-2 Lists

  • Alexei Ashikhmin
  • Alexander Barg
  • Simon Litsyn
Chapter

Abstract

A new asymptotic upper bound on the size of binary codes with the property described in the title is derived. The proof relies on the properties of the distance distribution of binary codes established in earlier related works of the authors.

Keywords

Binary Code Distance Distribution List Code Code DECODABLE Error Exponent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer Science+Business Media New York 2000

Authors and Affiliations

  • Alexei Ashikhmin
    • 1
  • Alexander Barg
    • 2
  • Simon Litsyn
    • 3
  1. 1.Los Alamos National LaboratoryLos AlamosUSA
  2. 2.Bell LaboratoriesLucent TechnologiesMurray HillUSA
  3. 3.Department of Electrical Engineering-SystemsTel Aviv UniversityRamat AvivIsrael

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