Wavelet transform at oriented basis for network traffic forecasting
| Autor: | S. Veretiuk, A. Veretiuk, T.A. Tereshchenko, Y. Yamnenko |
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| Rok vydání: | 2013 |
| Předmět: |
Discrete wavelet transform
Lifting scheme business.industry Computer science Second-generation wavelet transform Stationary wavelet transform Wavelet transform Cascade algorithm Pattern recognition Data_CODINGANDINFORMATIONTHEORY Machine learning computer.software_genre Wavelet packet decomposition Wavelet Artificial intelligence business computer |
| Zdroj: | 2013 IEEE XXXIII International Scientific Conference Electronics and Nanotechnology (ELNANO). |
| DOI: | 10.1109/elnano.2013.6552049 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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