• DocumentCode
    2055144
  • Title

    On lower bounds for the capacity of deletion channels

  • Author

    Drinea, Eleni ; Mitzenmacher, Michael

  • Author_Institution
    Div. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Firstpage
    227
  • Abstract
    We consider binary deletion channels, where bits are deleted independently with probability d. We extend the framework used to analyze the capacity of binary deletion channels established by Diggavi and Grossglauser [2001], improving on their lower bounds. In Diggavi and Grossglauser, the codewords are generated by a first order Markov chain. Our improvements arise from two considerations. First, Diggavi and Grossglauser consider typical outputs, where an output is typical if an N bit input produces an output of at least N(1-d)(1-ε) bits. We provide a stronger notion of a typical output that yields better bounds even for the cases studied in Diggavi and Grossglauser. Second, we consider codewords generated by more general processes than first order Markov chains.
  • Keywords
    Markov processes; channel capacity; probability; random codes; binary deletion channel capacity; bit deletion; codeword; first order Markov chain; probability; Capacity planning; Channel capacity; Decoding; Markov processes; Probability distribution; Stochastic processes; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
  • Print_ISBN
    0-7803-8280-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2004.1365265
  • Filename
    1365265