• DocumentCode
    3353636
  • Title

    Distributed joint source-channel arithmetic coding

  • Author

    Grangetto, Marco ; Magli, Enrico ; Olmo, Gabriella

  • Author_Institution
    Dipt. di Inf., Univ. degli Studi di Torino, Torino, Italy
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    3717
  • Lastpage
    3720
  • Abstract
    We address distributed source coding with decoder side information, when the decoder observes the source through a noisy channel. Existing approaches employ syndromeor parity-based channel codes. We propose a new approach based on distributed arithmetic coding (DAC).We introduce a DAC with forbidden symbol, which allows to tune the redundancy according to the amount of channel noise. We propose a novel sequential decoder that employs the known side information to decode the corrupted codeword. Experimental results show that the proposed scheme is better than parity-based turbo codes at relatively short block lengths.
  • Keywords
    arithmetic codes; combined source-channel coding; parity check codes; sequential decoding; DAC; channel coding; channel noise; distributed arithmetic coding; joint source-channel coding; parity-based channel codes; sequential decoder; Bit error rate; Decoding; Joints; Noise measurement; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652684
  • Filename
    5652684