• DocumentCode
    2160306
  • Title

    Dot Counting Dimension, a New Parameter of Fractal Dimension or Complexity

  • Author

    Li, Zhi-Min

  • Volume
    5
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    153
  • Lastpage
    155
  • Abstract
    A new tool, Dot Counting Dimension (DCD) for measuring the fractal dimension or complexity of 1-dimension random vibration signal or time series data is put forward in this paper. The definition and algorithm of DCD are given out. DCD of six pulse segments of microseismic records are calculated, and linear result of DCD is achieved. The algorithm of DCD may be applied broadly in processing 1-dimension random vibration signal or time series data because of its implementing easy with less calculation, and fast calculation velocity, And the algorithm of DCD does not need too much more data for achieving convergence.
  • Keywords
    Chaos; Convergence; Data engineering; Entropy; Fractals; Materials science and technology; Signal processing; Signal processing algorithms; Time measurement; Vibration measurement; 1-dimension random vibration signal; Dot Counting Dimension (DCD); complexity; fractal dimension; microseismic; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, China
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.232
  • Filename
    4566805