• DocumentCode
    2341635
  • Title

    Inertial Sensors Random Sequence Pretreatment Using Empirical Mode Decomposition Method

  • Author

    Qiu-zhao, Zhang ; Shu-bi, Zhang ; Dong-yang, Hou

  • Volume
    2
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    250
  • Lastpage
    253
  • Abstract
    A new signal analysis technique -- empirical mode decomposition (EMD) method is introduced for removing the trend term of nonstationary random sequence. An inverse sequence method is used to check the effect of EMD method. The experiment indicates that the EMD method can not only eliminate the trend term of nonstationary random sequence, but also improve the normal natures of the nonstationary random sequence.
  • Keywords
    autoregression model; empirical mode decomposition; inertial sensors; inverse sequence method; nonstationary random sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Signal Processing (CMSP), 2011 International Conference on
  • Conference_Location
    Guilin, China
  • Print_ISBN
    978-1-61284-314-8
  • Electronic_ISBN
    978-1-61284-314-8
  • Type

    conf

  • DOI
    10.1109/CMSP.2011.139
  • Filename
    5957507
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2341635