• DocumentCode
    1969055
  • Title

    New non-asymptotic random channel coding theorems

  • Author

    En-Hui Yang ; Jin Meng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2013
  • fDate
    10-15 Feb. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    New non-asymptotic random coding theorems (with error probability ϵ and finite block length n) based on Gallager parity check ensemble are established for binary input arbitrary output channels. The resulting non-asymptotic achievability bounds, when combined with non-asymptotic equipartition properties, can be easily computed. Analytically, these non-asymptotic achievability bounds are shown to be asymptotically tight up to the second order of the coding rate as n goes to infinity with either constant or sub-exponentially decreasing ϵ. Numerically, they are also compared favourably, for finite n and ϵ of practical interest, with existing non-asymptotic achievability bounds in the literature in general.
  • Keywords
    channel capacity; channel coding; probability; Gallager parity check ensemble; binary input arbitrary output channels; nonasymptotic achievability bounds; nonasymptotic equipartition properties; nonasymptotic random channel coding theorems; Capacity planning; Decoding; Error probability; Linear codes; Parity check codes; Channel capacity; Gallager parity check ensemble; non-asymptotic coding theorems; non-asymptotic equipartition properties; random linear codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Applications Workshop (ITA), 2013
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4648-1
  • Type

    conf

  • DOI
    10.1109/ITA.2013.6502988
  • Filename
    6502988