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小波基对多分形小波模型的影响

Influence of wavelet base to the multifractal wavelet model
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摘要 以多分形小波模型(MWM)为基础,选取了Haar,Daubechies,Coiflets,Sym lets四种小波基,分别研究不同小波对此模型的影响。通过对真实流量、模型合成流量进行多种实验的分析、比较,得出结论:在多分形小波模型中采用Haar小波合成的流量,能够更准确的反映原始流量的统计特性。 Bascd on the Multifractal Wavelet Model (MWM), chosing four kinds of wavelets, such as Haar, Daubechies, Coiflets and Symlets, the influence which the wavelets had on the MWM was analysed. With the analysis and comparison between the real traffic and the synthesized traffic, the conclusion is that the synthesized traffic, which was got from the MWM with Haar wavelet, can correctly reflect the statistical characteristics of the real traffic.
出处 《计算机应用》 CSCD 北大核心 2006年第6期1295-1297,共3页 journal of Computer Applications
基金 山东省自然科学基金资助项目(Y2001G05) Cisco教育科研资助计划(P0135006928)
关键词 网络流量 多分形 小波基 network traffic multifractal wavelet base
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参考文献11

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