Wavelet transform at oriented basis for network traffic forecasting

T. Tereshchenko, Y. Yamnenko, A. Veretiuk, S. Veretiuk
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引用次数: 5

Abstract

In this article the network traffic forecasting preprocessing based on wavelet transforms is considered. The analysis of network traffic as time series was made. The data preprocessing using new wavelet transform was proposed. Application of the two types of wavelet transforms for data preprocessing (Oriented Basis and Haar) was analyzed. Results regarding the feasibility of wavelet transform type depending on application are presented.
基于小波变换的网络流量预测方法
本文研究了基于小波变换的网络流量预测预处理。对网络流量进行了时间序列分析。提出了一种新的小波变换对数据进行预处理。分析了两种小波变换(Oriented Basis和Haar)在数据预处理中的应用。根据不同的应用,给出了小波变换类型的可行性。
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