• DocumentCode
    2948771
  • Title

    Fixed Delay Optimal Joint Source-Channel Coding for Finite-Memory Systems

  • Author

    Mahajan, Aditya ; Teneketzis, Demosthenis

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    2319
  • Lastpage
    2323
  • Abstract
    We consider zero-delay or fixed finite-delay joint source channel coding of Markov sources using finite memory encoder and decoder. The objective is to choose designs that minimize expected total distortion over a finite horizon, expected discounted distortion over an infinite horizon and average distortion per unit time over an infinite horizon. The above problem is a dynamic team with non-classical information structure. We develop a sequential decomposition for this problem. The main contribution of this paper is to provide a systematic methodology for determination of optimal joint source-channel encoding-decoding strategies for zero-delay or fixed finite-delay point-to-point communication with limited memory
  • Keywords
    Markov processes; combined source-channel coding; decoding; Markov sources; decoder; decoding strategies; finite memory encoder; finite-memory systems; fixed delay optimal joint source-channel coding; point-to-point communication; sequential decomposition; Costs; Decoding; Delay effects; Delay estimation; Infinite horizon; Tin; Transmitters; USA Councils; Wireless sensor networks; Zinc;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.261981
  • Filename
    4036384