• DocumentCode
    1619620
  • Title

    Multiple Description Coding over Erasure Channels

  • Author

    Zhao, Songqing ; Tuninetti, Daniela ; Ansari, Rashid ; Schonfeld, Dan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL
  • fYear
    2008
  • Firstpage
    1845
  • Lastpage
    1849
  • Abstract
    In this paper, we study the optimal rate allocation of multiple description coding over multiple erasure channels in order to attain the minimum average distortion of the recovered message at the receiver. The results of this investigation are subsequently used to determine conditions under which the optimal rate allocation is characterized by transmission of one description over a single channel, i.e. single description coding. We formulate the optimal rate allocation problem by using rate- distortion theory under the constraint that the total coding rate is fixed and solve the problem by using numerical methods. Furthermore, we derive a closed-form analytical solution to the optimal rate allocation problem under four conditions and verify that the analytical solution is consistent with the numerical results. Also, we present a heuristic that captures the solution to the optimal rate allocation problem and can be used to determine the number of descriptions and relative rates required to achieve optimality.
  • Keywords
    source coding; telecommunication channels; multiple description coding; multiple erasure channels; optimal rate allocation; rate-distortion theory; single description coding; Bit rate; Communications Society; Constraint theory; Data communication; Decoding; Delay; Multimedia communication; Multimedia systems; Propagation losses; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.354
  • Filename
    4533390