• DocumentCode
    496681
  • Title

    A smoothing variable step size algorithm

  • Author

    Yan Huo ; Li Fu ; Tao Jing ; Yu-min Feng

  • Author_Institution
    School of Electronics and Information Engineering, Beijing Jiaotong University, 100044, China
  • fYear
    2006
  • fDate
    6-9 Nov. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, both Long Range Dependence (LRD) and burstiness are illustrated to show traffic characteristics of original frame sequence can be represented by traffic on the time scale of GOP. A new smoothing variable step size adaptive (S-VSSA) algorithm is presented based on fix step size adaptive (FSSA) algorithm and variable step size adaptive (VSSA) algorithm, which are used to predict MPEG-4 video traffic on large time scale of GOP. And S-VSSA algorithm can improve performance of prediction significantly according to a number of simulations. The new algorithm can achieve fast convergence and small prediction error.
  • Keywords
    Adaptive algorithm; Burstiness; Long Range Dependence; Video traffic prediction;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless, Mobile and Multimedia Networks, 2006 IET International Conference on
  • Conference_Location
    hangzhou, China
  • ISSN
    0537-9989
  • Print_ISBN
    0-86341-644-6
  • Type

    conf

  • Filename
    5195633