现代电子技术2011，Vol.34Issue(8)：33-35,3.
基于FrFT的网络流量Hurst参数估计器
Frft Based Hurst Parameter Estimator for Network Traffic
摘要
Abstract
Self-similar model is used to describe real network traffic model, whose degree of Iong-range dependence (LRD) is characterized by Hurst parameter. In this paper, the self-similar model of network traffic and wavelet analysis method of Hurst parameter are introduced， and a relation between the fractional Fourier transform ( Frft) and wavelet analysis is established in order to conveniently estimate the long-range dependence of network traffic. On the basis of the above achievements, a new Frft-based Hurst parameter estimation method of network traffic is presented. The Frft-based Hurst parameter estimator for network traffic was designed with the new method. It can effectively estimate Hurst parameters of the random time sequence.关键词
分数阶傅里叶变换/Hurst参数/长相关/自相似/网络流量Key words
fractional Fourier transform/ Hurst parameter/ long-range dependence/ self-similarity/ network traffic分类
信息技术与安全科学引用本文复制引用
王霁,单佩韦..基于FrFT的网络流量Hurst参数估计器[J].现代电子技术,2011,34(8):33-35,3.
