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Nonlinear dynamic analysis of MPEG-4 video traffic

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Wuhan University Journal of Natural Sciences

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.

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Authors and Affiliations

  1. School of Electronic Information, Wuhan University, 430072, Wuhan, Hubei, China

    Ge Fei & Cao Yang

  2. State Key Laboratory of Software Engineering, 130072, Wuhan, Hubei, China

    Cao Yang

  3. School of Computer, China University of Geoscience, 430074, Wuhan, Hubei, China

    Wang Yuan-ni

Authors
  1. Ge Fei
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  2. Cao Yang
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  3. Wang Yuan-ni
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Corresponding author

Correspondence to Cao Yang.

Additional information

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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Fei, G., Yang, C. & Yuan-ni, W. Nonlinear dynamic analysis of MPEG-4 video traffic. Wuhan Univ. J. Nat. Sci. 10, 1019–1024 (2005). https://doi.org/10.1007/BF02832460

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  • DOI: https://doi.org/10.1007/BF02832460

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