• DocumentCode
    507302
  • Title

    A New Method Assessing Signal Regularity

  • Author

    Chen, Weiting ; Yu, Wangxin ; Cao, Guitao

  • Author_Institution
    Software Eng. Inst., East China Normal Univ., Shanghai, China
  • Volume
    5
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    563
  • Lastpage
    566
  • Abstract
    In this paper, we put forward a new method to measure the regularity of a time series. Through a sliding observation window, the relative probability of evolvement patterns (RPEP) of a time series can be monitored as a function of time. Summing up the probability of all those patterns representing regularity evolvement, we get the index Dreg. The higher the Dreg is, the more regular the time series appears. As the calculation of EP and Dreg is quite easy and fast, the method provides a convenient way to assess signal regularity and can be applied to online analysis.
  • Keywords
    signal processing; time series; electromyography signals; evolvement patterns relative probability; signal regularity assessment; sliding observation window; time series; Biomedical engineering; Biomedical measurements; Fuzzy systems; Monitoring; Pattern analysis; Signal analysis; Software engineering; Software measurement; Sorting; Time measurement; evolvement patterns; regularity; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.770
  • Filename
    5360558