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
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;
Conference_Titel :
Wireless, Mobile and Multimedia Networks, 2006 IET International Conference on
Conference_Location :
hangzhou, China
Print_ISBN :
0-86341-644-6