• DocumentCode
    2570105
  • Title

    Time series data analysis using fractional calculus concepts and fractal analysis

  • Author

    Repperger, D.W. ; Farris, Katheryn A. ; Barton, Chris C. ; Tebbens, Sarah

  • Author_Institution
    711th Human Performance Wing, Air Force Res. Lab., Wright-Patterson AFB, OH, USA
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    3311
  • Lastpage
    3315
  • Abstract
    A study is conducted on time series data analysis relating the concept of the fractional calculus to fractals and to the fractal dimension. A new definition of the fractal dimension is provided based on a property of the fractional derivative. Using fractional Gaussian noise and fractional Brownian motion, simulations show the information content of a time series can be easily manipulated by the fractional derivative method and generated in real time.
  • Keywords
    fractals; time series; fractal analysis; fractal dimension; fractional Brownian motion; fractional Gaussian noise; fractional calculus; fractional derivative method; time series data analysis; Cybernetics; Data analysis; Entropy; Fractals; Fractional calculus; Geology; Medical diagnostic imaging; Stochastic processes; Time series analysis; USA Councils; Fractals; complex systems; fractional calculus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346218
  • Filename
    5346218