A gamma autoregressive video model on ATM networks

Author

Xu, Shugong ; Huang, Zailu

Author_Institution

Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

Volume

8

Issue

2

fYear

1998

fDate

4/1/1998 12:00:00 AM

Firstpage

138

Lastpage

142

Abstract

Several works have concluded that the number of cells per frame of variable bit-rate (VBR) video teleconference follows a gamma distribution. But few video models meet this characteristics. We propose a novel video model, called first-order autoregressive (AR) gamma sequence, in which random variables are marginally distributed as gamma variables. We give the definition of a GAR model and a simple realization method of GAR(1). Parameter estimation methods are studied, too. Simulation results show that our model can meet the characteristics of VBR video better than existing models

Keywords

asynchronous transfer mode; autoregressive processes; broadband networks; gamma distribution; parameter estimation; random processes; telecommunication traffic; teleconferencing; GAR model; VBR video teleconference; broadband ATM networks; first-order autoregressive gamma sequence; gamma autoregressive video model; gamma distribution; gamma variables; parameter estimation methods; random variables; simulation results; variable bit-rate; video traffic; Autoregressive processes; Communication system traffic control; Equations; Markov processes; Parameter estimation; Random variables; Telecommunication traffic; Teleconferencing; Traffic control; White noise;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/76.664098

Filename

664098