• DocumentCode
    2188137
  • Title

    A Flexible Multiple Description Coding Scheme Based on Rateless Codes

  • Author

    Bursalioglu, O.Y. ; Caire, G.

  • Author_Institution
    Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2010
  • fDate
    24-26 March 2010
  • Firstpage
    269
  • Lastpage
    278
  • Abstract
    The multiple description coding of an independent and identically distributed Gaussian source over bit error channels is considered. A novel practical multiple description coding scheme is proposed based on scalar embedded quantizers and rateless codes. A peer-to-peer network model is studied where users can receive different number of descriptions and an arbitrary large number of descriptions can be created and transmitted between peers. For this network model convex system optimization problems are defined and solved. The proposed scheme can be regarded as an efficient implementation of "channel optimized quantization", where the index assignment is obtained via a low-complexity linear function. The scheme is shown to be robust to bit errors and to achieve higher reconstruction signal-to-noise ratios when compared to previously reported designs.
  • Keywords
    Gaussian processes; convex programming; encoding; error statistics; telecommunication channels; bit error channels; channel optimized quantization; distributed Gaussian source; flexible multiple description coding scheme; index assignment; low-complexity linear function; network model convex system optimization problems; peerto-peer network model; rateless codes; reconstruction signal-to-noise ratios; scalar embedded quantizers; Channel coding; Code standards; Data compression; Decoding; Image reconstruction; Network servers; Peer to peer computing; Quantization; Signal design; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2010
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-4244-6425-8
  • Electronic_ISBN
    1068-0314
  • Type

    conf

  • DOI
    10.1109/DCC.2010.32
  • Filename
    5453447