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文章基本信息

  • 标题:Modeling of Autocorrelation Functions Using Weighted Non-linear least squares
  • 本地全文:下载
  • 作者:Altyeb Altaher Altye Taha
  • 期刊名称:Computer Sciences and Telecommunications
  • 印刷版ISSN:1512-1232
  • 出版年度:2006
  • 期号:02
  • 页码:34-38
  • 出版社:Internet Academy
  • 摘要:Because autocorrelation functions play an important role in stochastic processes and can be used to model the traffic data practically, it is significant to study how to find a function that best fits the autocorrelation sequence of a realtraffic trace. This paper presents a asymptotic model for autocorrelation functions using Weighted non-linear least squares.
  • 关键词:traffic modeling, long-range dependence, autocorrelation functions
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