• DocumentCode
    2298820
  • Title

    Power Preserving 2:1 Bandwidth Reduction Mappings

  • Author

    Ingber, Amir ; Feder, Meir

  • Author_Institution
    Amimon
  • fYear
    2007
  • fDate
    27-29 March 2007
  • Firstpage
    385
  • Lastpage
    385
  • Abstract
    In this work we consider dimension reducing mappings that can be used for joint source-channel coding (JSCC) systems. In such systems, the source coding and the channel coding is performed as a single operation. Although it is known by Shannon´s separation theorem that asymptotically JSCC is not required for attaining the optimal performance, utilizing such schemes is beneficial for practical reasons such as delay and implementation simplicity. We specifically focus on the bandwidth reduction case, where the bandwidth of the data is greater than the bandwidth of the channel. More specifically, we focus on bandwidth reduction mappings, where the JSCC operation is performed using a single nonlinear operation. A modification of the spiral mapping is presented, so the power at the output is proportional to that of the input
  • Keywords
    bandwidth allocation; combined source-channel coding; bandwidth reduction mappings; dimension reducing mappings; joint source-channel coding; nonlinear operation; power preserving; AWGN; Additive white noise; Bandwidth; Channel coding; Data compression; Delay; Dynamic range; Random variables; Source coding; Spirals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2007. DCC '07
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-2791-4
  • Type

    conf

  • DOI
    10.1109/DCC.2007.65
  • Filename
    4148786