• DocumentCode
    3032601
  • Title

    New concept of getting data trend based on EMD and application

  • Author

    Zhao, Gang ; Li, Yanjun ; Guo, Xiaohong ; Zhu, Kaijian

  • Author_Institution
    Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    8-10 June 2010
  • Firstpage
    237
  • Lastpage
    242
  • Abstract
    Aiming at the need of getting data trend in a project, the paper introduces the Empirical Mode Decomposition. According to the characteristic of real measurement data, the paper proposes a new method of getting the data trend based on Empirical Mode Decomposition. The new concept validates the noise distributing rule of measure data and reflects the characteristic of Empirical Mode Decomposition. Compared with the polynomial filter, the new algorithm keeps the integrality of data information, effectively reduces the effect of noise, improves the reliability of data information, and gets the data trend. Through simulation result, the new concept is proved to be valid and applicable.
  • Keywords
    decomposition; filtering theory; integral equations; polynomials; reliability; EMD; data information; data trend; empirical mode decomposition; integrality; noise distributing rule; polynomial filter; real measurement data; reliability; Band pass filters; Information filters; Noise; Satellites; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-6043-4
  • Electronic_ISBN
    978-1-4244-7505-6
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2010.5632560
  • Filename
    5632560