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
Link To Document