• DocumentCode
    1243115
  • Title

    Piecewise fractional Brownian motion

  • Author

    Perrin, Emmanuel ; Harba, Rachid ; Iribarren, Ileana ; Jennane, Rachid

  • Author_Institution
    Magnetic Nucl. Resonance Lab., Univ. Claude BernardLyon, Villeurbanne, France
  • Volume
    53
  • Issue
    3
  • fYear
    2005
  • fDate
    3/1/2005 12:00:00 AM
  • Firstpage
    1211
  • Lastpage
    1215
  • Abstract
    Starting from fractional Brownian motion (fBm) of unique parameter H, a piecewise fractional Brownian motion (pfBm) of parameters Ho, Hi, and γ is defined. This new process has two spectral regimes: It behaves like an fBm of parameter Ho for low frequencies |ω|<γ and like an fBm of parameter Hi for high frequencies |ω|≥γ. When Ho=Hi, or for limit cases γ→0 and γ→∞, pfBm becomes classical fBm. It is shown that pfBm is a continuous, Gaussian, and nonstationary process having continuous, Gaussian, and stationary increments, namely, piecewise fractional Gaussian noises. The asymptotic self-similarity of pfBm is shown according to the considered regime: At large scale, the process is self-similar with parameter Ho and with parameter Hi at low scale.
  • Keywords
    Brownian motion; Gaussian noise; signal processing; piecewise fractional Brownian motion; piecewise fractional Gaussian noise; signal processing; Brownian motion; Direction of arrival estimation; Frequency; Motion estimation; Multiple signal classification; Performance analysis; Robustness; Signal processing; Signal processing algorithms; Upper bound; Fractal; fractional Brownian motion; self-similarity;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2004.842209
  • Filename
    1396449