• DocumentCode
    1566577
  • Title

    Enhanced Multiple Description Decoder for Error-Prone Channels

  • Author

    Ma, Ronghua ; Labeau, Fabrice

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
  • fYear
    2006
  • Firstpage
    805
  • Lastpage
    808
  • Abstract
    Multiple description coding (MDC) is applied to achieve acceptable performance when only one single description is received correctly, and better resolution of the source when all descriptions are received correctly. In previous work, the description with bit errors is either discarded completely, or estimated by using complicated algorithms. A new central receiver is proposed in this paper so as to achieve better performance by utilizing the residual information between descriptions received correctly or with noise. After theoretical analysis based on MDSQ, optimal and suboptimal solutions are provided. Analytical and experimental results show that the proposed algorithms achieve better performance than the side distortion within a large range of BERs. In particular, the suboptimal algorithm achieves similar performance to that of the optimal with low computational complexity and without accurate channel knowledge.
  • Keywords
    channel coding; data compression; decoding; error statistics; image coding; BER; MDSQ; bit error rate; error-prone channel; multiple description decoder; multiple description scalar quantizer; receiver; residual information; Algorithm design and analysis; Communications technology; Computational complexity; Computer errors; Decoding; Degradation; Error analysis; Error correction; Performance analysis; Wireless communication; Image communication; error analysis; quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312524
  • Filename
    4106652