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Proceedings Paper

Statistical analysis and representation of TCP traffic
Author(s): Khalid Daoudi; Jacques Levy-Vehel
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Paper Abstract

We study the statistical behavior of TCP traffic traces through their wavelet decomposition, and show that the marginal distribution of the wavelet coefficients is a 1.5- stable law. Taking advantage of the correlation between the Haar coefficients, we then give a representation to the signal in terms of Weakly Self-Affine functions, which are a generalization of `fractal' functions, and allow a parsimonious representation of the data.

Paper Details

Date Published: 19 October 1998
PDF: 8 pages
Proc. SPIE 3458, Wavelet Applications in Signal and Imaging Processing VI, (19 October 1998); doi: 10.1117/12.328147
Show Author Affiliations
Khalid Daoudi, Massachusetts Institute of Technology (United States)
Jacques Levy-Vehel, INRIA Rocquencourt (France)

Published in SPIE Proceedings Vol. 3458:
Wavelet Applications in Signal and Imaging Processing VI
Andrew F. Laine; Michael A. Unser; Akram Aldroubi, Editor(s)

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