• DocumentCode
    1041697
  • Title

    Iterative decoding of differentially space-time coded multiple descriptions of images

  • Author

    Sun, Yong ; Xiong, Zixiang ; Wang, Xiaodong

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    11
  • Issue
    8
  • fYear
    2004
  • Firstpage
    686
  • Lastpage
    689
  • Abstract
    We consider transporting images over wireless fading channels rather than the on-off channels considered in most works related to multiple description (MD) coding. The new idea is to use iterative (turbo) decoding techniques developed for serially concatenated coding systems to improve the performance of the receiver in successive decoding iterations. We treat MD coding, realized by embedded image coding plus unequal error protection (e.g., product code structure), as the outer constituent code and use a differential space-time code as the inner constituent code. Experimental results show that our iterative scheme can effectively improve the system performance. Furthermore, most of the gain in PSNR is achieved with only one iteration in the low SNR range, e.g., 0-20 dB.
  • Keywords
    concatenated codes; fading channels; image coding; iterative decoding; product codes; radio receivers; space-time codes; turbo codes; visual communication; PSNR; differential space-time code; embedded image coding; image transmission; inner constituent code; iterative decoding; iterative turbo decoding technique; multiple description coding; multiple description image coding; peak signal-to-noise ratio; product code structure; receiver performance improvement; serially concatenated coding system; unequal error protection code; wireless fading channel; Concatenated codes; Error correction codes; Fading; Image coding; Image communication; Iterative decoding; Product codes; Quantization; Space time codes; Sun; Differential space-time coding; image transmission; iterative decoding; multiple description coding; wireless fading channel;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2004.831678
  • Filename
    1316886