| Nonlinear Dynamic Analysis of MPEG-4 Video Traffic |
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| 作者姓名： | GE Fei CAO Yang WANG Yuan-ni |
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| 作者单位： | [1]School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China [2]School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China;State Key Laboratory of Software Engineering, Wuhan 430072, Hubei, China [3]School of Computer, China Universty of Geoscience, Wuhan 430074, Hubei, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China （60132030） |
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| 摘 要： | The main research motive is to analysis and to veiny the inherent nonlinear character of MPEG-4 video. The power spectral density estimation of the video trafiic describes its 1/f^β and periodic characteristics.The priraeipal compohems analysis of the reconstructed space dimension shows only several principal components can be the representation of all dimensions. The correlation dimension analysis proves its fractal characteristic. To accurately compute the largest Lyapunov exponent, the video traffic is divided into many parts.So the largest Lyapunov exponent spectrum is separately calculated using the small data sets method. The largest Lyapunov exponent spectrum shows there exists abundant nonlinear chaos in MPEG-4 video traffic. The conclusion can be made that MPEG-4 video traffic have complex nonlinear be havior and can be characterized by its power spectral density,principal components, correlation dimension and the largest Lyapunov exponent besides its common statistics.
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| 关 键 词： | 非线性动态分析 MPEG-4 视频交换 能量光谱 Lyapunov指数 |
| 文章编号： | 1007-1202（2005）06-1019-06 |
| 收稿时间： | 2005-01-13 |
Nonlinear dynamic analysis of MPEG-4 video traffic |
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| GE Fei CAO Yang WANG Yuan-ni.Nonlinear Dynamic Analysis of MPEG-4 Video Traffic[J].Wuhan University Journal of Natural Sciences,2005,10(6):1019-1024. |
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| Authors: | Ge Fei Cao Yang Wang Yuan-ni |
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| Institution: | (1) School of Electronic Information, Wuhan University, 430072 Wuhan, Hubei, China;(2) State Key Laboratory of Software Engineering, 130072 Wuhan, Hubei, China;(3) School of Computer, China University of Geoscience, 430074 Wuhan, Hubei, China |
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| Abstract: | The main research motive is to analysis and to verify the inherent nonlinear character of MPEG-4 video. The power spectral
density estimation of the video trafiic describes its 1/f
β and periodic characteristics. The principal components analysis of the reconstructed space dimension shows only several principal
components can be the representation of all dimensions. The correlation dimension analysis proves its fractal characteristic.
To accurately compute the largest Lyapunov exponent, the video traffic is divided into many parts. So the largest Lyapunov
exponent spectrum is separately calculated using the small data sets method. The largest Lyapunov exponent spectrum shows
there exists abundant nonlinear chaos in MPEG-4 video traffic. The conclusion can be made that MPEG-4 video traffic have complex
nonlinear behavior and can be characterized by its power spectral density, principal components, correlation dimension and
the largest Lyapunov exponent besides its common statistics.
Foundation item: Supported by the National Natural Science Foundation of China (60132030)
Biography: GE Fei(1975-), male, Ph. D. candidate, research direction: network performance estimation and traffic behavior analysis. |
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| Keywords: | MPEG-4 video traffic behavior nonlinear dynamic analysis power spectral density principal components analysis correlation dimension largest Lyapunov exponent |
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