摘要
许多研究工作表明ＶＢＲ视频业务的每帧信元数服从Ｇａｍｍａ分布，但是考虑这一性质的视频业务模型却很少．本文提出一种新的视频业务模型，一阶自回归Ｇａｍｍａ序列，它的取值是Ｇａｍｍａ分布的随机变量，文中给出ＧＡＲ模型的定义及有关性质．对ＧＡＲ（１）视频模型的参数估计方法也作了研究．仿真实验结果说明本文提出的ＧＡＲ（１）模型比以前的模型更能反映视频业务的特点，利用此模型产生仿真数据相当简便准确．
Several works have concluded that the number of cells per frame of VBR video follows a gamma distribution. But few model meets this character. In this paper we propose a novel video model, a first-order autoregressive (AR) gamma sequence, in which random variables are marginally distributed as gamma variables. We give the definition of GAR model and show some characters of GAR(1). The parameter estimation method is studied too. Simulation results show that our model can reflect the characters of VBR video better than the former models. It is more easy and accurate to create simulation data sequences using this new model.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1997年第1期102-105,共4页
Acta Electronica Sinica
关键词
ATM网
VBR视频业务
模型
电视
ATM network,VBR video traffic,Gamma autoregressive (GAR) model
