Long-Range Prediction for Real.-Time MPEG Video Traffic: An H∞ Filter Approach

被引：2

作者：

Wang, Chih-Hu ^{[1
,2
,3
]}

Chen, Bor-Sen ^{[4
]}

Lee, Bore-Kuen ^{[2
,3
]}

Lee, Tsu-Tian ^{[5
]}

Liu, Chien-Nan Jimmy ^{[1
]}

Su, Chauchin ^{[5
]}

机构：

[1] Natl Cent Univ, Dept Elect Engn, Chungli, Taiwan

[2] Chung Hua Univ, Dept Commun Engn, Hsinchu 300, Taiwan

[3] Chung Hua Univ, Dept Elect Engn, Hsinchu 300, Taiwan

[4] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 300, Taiwan

[5] Natl Chiao Tung Univ, Dept Elect & Control Engn, Hsinchu 300, Taiwan

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 2008年 / 18卷 / 12期

关键词：

H-infinity filter; long-range dependence; MPEG video; state-space method;

D O I：

10.1109/TCSVT.2008.2004926

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel prediction scheme is proposed for real-time MPEG video to predict the burst and long-range dependent traffic. The trend and periodic characteristics of MPEG video traffic are fully captured by a proposed stochastic state-space dynamic model. Then a recursive H. filtering algorithm is proposed to estimate traffic for long-range prediction. Simulation results based on real MPEG traffic data show that the proposed scheme has superior performance and lower complexity than some adaptive neural network methods, such as TDNN, NARX, and Elman neural networks.

引用

页码：1771 / 1775

页数：5

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