Generalized fractional Gaussian noise and its application to traffic modeling
type: Item
instance of: scholarly article
title: Generalized fractional Gaussian noise and its application to traffic modeling
author: Ming Li
published in: Physica A
publication date: 2022-01-21T00:00:00Z
Mathematics Subject Classification ID: 82-XX
zbMATH DE Number: 7461870
zbMATH Keywords: fractional noise
zbMATH Keywords: fractional Gaussian noise
zbMATH Keywords: long-range dependence
zbMATH Keywords: teletraffic modeling
describes a project that uses: longmemo
MaRDI profile type: Publication
full work available at URL: j.physa.2021.126138
OpenAlex ID: W3171996831
cites work: Q4223206
cites work: Modeling autocorrelation functions of self-similar teletraffic in communication networks based on optimal approximation in Hilbert space
cites work: Fractional Brownian Motions, Fractional Noises and Applications
cites work: Self-similar processes in communications networks
cites work: Modeling autocorrelation functions of long-range dependent teletraffic series based on optimal approximation in Hilbert space -- a further study
cites work: Power spectrum of generalized fractional Gaussian noise
cites work: Q5509277
cites work: On the relationship between fractal dimension and fractal index for stationary stochastic processes
cites work: Record length requirement of long-range dependent teletraffic
cites work: Q3377487
cites work: Q4865042
cites work: Fitting long-memory models by generalized linear regression
cites work: Fractional Brownian motion: difference iterative forecasting models
cites work: Fractional Lévy stable motion: finite difference iterative forecasting model
cites work: Multi-fractional generalized Cauchy process and its application to teletraffic
cites work: Fractal teletraffic delay bounds in computer networks
cites work: Generalized Cauchy model of sea level fluctuations with long-range dependence
cites work: Fractional Brownian motion with random diffusivity: emerging residual nonergodicity below the correlation time
cites work: Fractal time series -- A tutorial review
DOI: 10.1016/J.PHYSA.2021.126138
description: scientific article; zbMATH DE number 7461870