• DocumentCode
    3413292
  • Title

    Multiple description coding over correlated multipath erasure channels

  • Author

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

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ. at Chicago, Chicago, IL
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    2153
  • Lastpage
    2156
  • Abstract
    The problem of optimal rate allocation to streams constituting multiple description coding (MDC) has largely been addressed under the assumption that the multiple paths available for transmission are uncorrelated. In this paper, we model the transmission paths as correlated erasure channels and then examine the problem of allocating a given coding rate to the multiple descriptions in order to minimize the average distortion of the reconstructed message. We also investigate the relationship between the optimal average distortion and correlation of channels and prove that the bound on the average distortion will decrease as the correlation increases. Furthermore, we derive a closed-form solution for the contour which determines the region where multiple description coding (MDC) or single description coding (SDC) yields the minimal bound on the average distortion. Relying on this contour, we present a heuristic of the optimal rate allocation problem to determine the number of descriptions and relative rates.
  • Keywords
    channel coding; correlation methods; distortion; multipath channels; correlated multipath erasure channels; multiple description coding; optimal average distortion; optimal rate allocation; single description coding; Bit rate; Closed-form solution; Decoding; Delay; Disruption tolerant networking; Propagation losses; Refining; Resilience; Correlated erasure channels; KKT; MDC; Multipath; Optimal rate allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518069
  • Filename
    4518069