Rudolf H. Riedi, Matthew S. Crouse, Vinay J. Ribeiro, Richard G. Baraniuk  Home/Search
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Abstract: In this paper, we develop a new multiscale modeling framework for characterizing positive-valued data with long-range-dependent correlations (1=f noise). Using the Haar wavelet transform and a special multiplicative structure on the wavelet and scaling coefficients to ensure positive results, the model provides a rapid O(N) cascade algorithm for synthesizing N-point data sets. We study both the second-order and multifractal properties of the model, the latter after a tutorial overview of... (Update)
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BibTeX entry: (Update)
R. Riedi, M. Crouse, V. Ribeiro, and R. Baraniuk. A Multifractal Wavelet Model with Application to TCP Network Traffic. preprint, 1998. http://citeseer.ist.psu.edu/article/riedi98multifractal.html More
@article{ riedi99multifractal,
author = "R. H. Riedi and M. S. Crouse and V. J. Ribeiro and R. G. Baraniuk",
title = "A Multifractal Wavelet Model with Application to Network Traffic",
journal = "IEEE Transactions on Information Theory",
volume = "45",
number = "4",
pages = "992--1018",
year = "1999",
url = "citeseer.ist.psu.edu/article/riedi98multifractal.html" }
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