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- W2149082077 abstract "We propose a novel set of wavelet-based stochastic models for self-similar network traffic with non-Gaussian behavior. We show that these models are sufficiently accurate and parsimonious, and have very low computational complexity in analysis and synthesis." @default.
- W2149082077 created "2016-06-24" @default.
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- W2149082077 date "2002-11-07" @default.
- W2149082077 modified "2023-09-26" @default.
- W2149082077 title "Wavelet-based models for network traffic" @default.
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- W2149082077 doi "https://doi.org/10.1109/ssap.2000.870173" @default.
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