Paper
19 October 1998 Statistical analysis and representation of TCP traffic
Khalid Daoudi, Jacques Levy-Vehel
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Khalid Daoudi and Jacques Levy-Vehel "Statistical analysis and representation of TCP traffic", Proc. SPIE 3458, Wavelet Applications in Signal and Imaging Processing VI, (19 October 1998); https://doi.org/10.1117/12.328147
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KEYWORDS
Wavelets

Statistical analysis

Fractal analysis

Motion models

Data modeling

Process modeling

Silicon

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