A correlation-based computational model for synthesizing long-range dependent data.
From MaRDI portal
Publication:1428211
DOI10.1016/j.jfranklin.2003.09.002zbMath1051.93095OpenAlexW2011161232WikidataQ59204160 ScholiaQ59204160MaRDI QIDQ1428211
Publication date: 14 March 2004
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2003.09.002
Brownian motionFourier analysisHurst parameterStationary processFractional Gaussian noiseFiltersLong-range dependent data generationTeletraffic
Gaussian processes (60G15) Stationary stochastic processes (60G10) Stochastic systems in control theory (general) (93E03)
Related Items
Record length requirement of long-range dependent teletraffic, Generalized Cauchy model of sea level fluctuations with long-range dependence, Revisiting fractional Gaussian noise, Maximum likelihood estimation of clock skew in IEEE 1588 with fractional Gaussian noise, MODELING NETWORK TRAFFIC USING CAUCHY CORRELATION MODEL WITH LONG-RANGE DEPENDENCE, Fractal time series -- A tutorial review, Specific differential equations for generating pulse sequences, Variance bound of ACF estimation of one block of fGn with LRD, A fractional linear system view of the fractional Brownian motion
Uses Software
Cites Work
- Asymptotic analysis. Reprint
- Fractal correlation in heterogeneous systems
- Two direct Tustin discretization methods for fractional-order differentiator/integrator.
- Self-similar processes in communications networks
- Spectral representation of fractional Brownian motion in n dimensions and its properties
- Discretization schemes for fractional-order differentiators and integrators
- Fractional Brownian Motions, Fractional Noises and Applications
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item