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
fDate :
3/1/2005 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2004.842209