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

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Electrical Engineering > journal & Dissertation > Item 987654321/31863

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/31863

Title:	Long-Range Prediction for Real.-Time MPEG Video Traffic: An H-infinity Filter Approach
Authors:	Wang,Chih-Hu;Chen,Bor-Sen;Lee,Bore-Kuen;Lee,Tsu-Tian;Liu,Chien-Nan Jimmy;Su,Chauchin
Contributors:	電機工程研究所
Keywords:	RECURRENT NEURAL-NETWORKS;VBR VIDEO;TRANSPORT;MODEL;ATM
Date:	2008
Issue Date:	2010-07-06 18:13:12 (UTC+8)
Publisher:	中央大學
Abstract:	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
Relation:	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY????
Appears in Collections:	[Graduate Institute of Electrical Engineering] journal & Dissertation

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