• DocumentCode
    3069316
  • Title

    Heavy weight codes

  • Author

    Cohen, Gérard ; Solé, Patrick ; Tchamkerten, Aslan

  • Author_Institution
    Networks & Comput. Sci. Dept., Telecom ParisTech, Paris, France
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    1120
  • Lastpage
    1124
  • Abstract
    Motivated by certain recent problems in asynchronous communication, we introduce and study B(n, d, w), defined as the maximum number of length n binary sequences with minimum distance d, and such that each sequence has weight at least w. Specifically, we investigate the asymptotic exponential growth rate of B(n, d, w) with respect to n and with fixed ratios δ = d/n and ω = w/n. For ω ∈ [0, 1/2], this growth rate function b(δ, ω) is shown to be equal to a(δ), the asymptotic exponential growth rate of A(n, d)-the maximum number of length n binary sequences with minimum distance d. For ω ∈ (1/2, 1), we show that b(δ, ω) ≤ a(δ, ω) + f(ω), where a(δ, ω) denotes the asymptotic exponential growth rate of A(n, d, w), the maximum number of length n binary sequences with minimum distance d and constant weight w, and where f(w) is a certain function that satisfies 0 <; f(ω) <; 0.088 and limω→1 f(ω) = limω→1/2 f(ω) = 0. Based on numerical evidence, we conjecture that b(δ, ω) is actually equal to a(δ, ω) for ω ∈ (1/2, 1). Finally, lower bounds on B(n, d, w) are obtained via explicit code constructions.
  • Keywords
    binary codes; binary sequences; asymptotic exponential growth rate function; asynchronous communication; binary sequences; explicit code constructions; heavy weight codes; numerical evidence; Asynchronous communication; Binary sequences; Computer science; Decoding; Error probability; Information resources; Telecommunications; Testing; Transmitters; asynchronous communication; constant weight codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513691
  • Filename
    5513691