• DocumentCode
    3067385
  • Title

    Markov lemma for countable alphabets

  • Author

    Ho, Siu-Wai

  • Author_Institution
    Inst. for Telecommun. Res., Univ. of South Australia, Mawson Lakes, SA, Australia
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    1448
  • Lastpage
    1452
  • Abstract
    Strong typicality and the Markov lemma have been used in the proofs of several multiterminal source coding theorems. Since these two tools can be applied to finite alphabets only, the results proved by them are subject to the same limitation. Recently, a new notion of typicality, namely unified typicality, has been defined. It can be applied to both finite or countably infinite alphabets, and it retains the asymptotic equipartition property and the structural properties of strong typicality. In this paper, unified typicality is used to derive a version of the Markov lemma which works on both finite or countably infinite alphabets so that many results in multiterminal source coding can readily be extended. Furthermore, a simple way to verify whether some sequences are jointly typical is shown.
  • Keywords
    Markov processes; source coding; Markov lemma; asymptotic equipartition property; countable alphabet; multiterminal source coding; unified typicality; Australia; Channel coding; Codes; Entropy; Random variables; Rate-distortion; Source coding;
  • 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.2010.5513608
  • Filename
    5513608