Analysis the self-similarity of network traffic in fractional Fourier transform domain

Analysis the self-similarity of network traffic in fractional Fourier transform domain

Statistical characteristics of network traffic data in FrFT domain were analyzed,which indicates the self-simi-larity feature.Further,Hurst parameter estimation methods based on modified ensemble empirical mode decomposi-tion-detrended fluctuation analysis (MEEMD-DFA) and adaptive estimator with wei...

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Bibliographic Details
Main Authors: Tong GUO, Ju-long LAN, Wan-wei HUANG, Zhen ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-06-01
Series:Tongxin xuebao
Subjects:
self-similarity
fractional Fourier transform
Hurst parameter
ensemble empirical mode decomposition
weighted least square regression
adaptive
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436X.2013.06.005/
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http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436X.2013.06.005/

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