• DocumentCode
    3416922
  • Title

    Adaptive resolution-constrained scalar multiple-description coding

  • Author

    Klejsa, Janusz ; Kuropatwinski, Marcin ; Kleijn, W. Bastiaan

  • Author_Institution
    Electr. Eng. KTH, R. Inst. of Technol., Stockholm
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    2945
  • Lastpage
    2948
  • Abstract
    We consider adaptive two-channel multiple-description coding. We provide an analytical method for designing a resolution- constrained symmetrical multiple-description coder that uses an index assignment matrix. We use existing index assignment algorithms that are known for their good properties within our adaptive multiple-description coding architecture. These existing index assignment algorithms are parameterized and the coefficient of quantization of the side coders is described by a rational function. This leads to an analytical solution for the design problem, facilitating real-time adaptation based on information provided by feedback channels or rate conditions imposed by network management. Our experimental results show that the practical performance closely approximates theoretically obtained optimal behavior.
  • Keywords
    adaptive codes; matrix algebra; quantisation (signal); rational functions; telecommunication channels; adaptive two-channel scalar multiple-description coding; feedback channels; index assignment matrix; network management; quantization coefficient; rational function; resolution-constrained coder; Algorithm design and analysis; Communication networks; Decoding; Design methodology; Feedback; Information analysis; Iterative algorithms; Iterative methods; Quantization; Symmetric matrices; Scalar quantization; feedback channels; high-rate quantization; multiple description coding (MDC);
  • 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.2008.4518267
  • Filename
    4518267