• DocumentCode
    531851
  • Title

    Lossless data compression technique for spatial data system

  • Author

    Zhili, Xu ; Hongxia, Wang

  • Author_Institution
    BeiJing Youth Politics Coll., Beijing, China
  • Volume
    4
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    This paper defines for standardization a particular adaptive source coding algorithm that has widespread applicability to many forms of digital data. In particular, the science data from real time systems of imaging or non-imaging instruments are well suited for the application of this algorithm, which based on the Rice algorithm, as recommended by the CCSDS (Consultative Committee for Space Data System). The whole compression system has been verified by performing several tests using vectors recommended by CCSDS, but suitably expanded and improved in order to check the algorithm efficiency and its capability to support several space applications.
  • Keywords
    data compression; real-time systems; source coding; Rice algorithm; adaptive source coding algorithm; digital data; lossless data compression technique; real time systems; spatial data system; Decoding; entropy code; lossless data compression; sample splitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5619021
  • Filename
    5619021