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Communication Dans Un Congrès Année : 2010

Comparison of wavelet families with application to wimax traffic forecasting

Résumé

This paper deals with a wavelet based forecasting method for WiMAX traffic time series. It is based on an algorithm composed by a few steps. One of these steps is the computation of the Stationary Wavelet Transform, SWT. This transform has two parameters: the mother wavelet which generates the decomposition and the number of decomposition levels. The aim of this paper is to propose a strategy for the selection of the first parameter. Our work is centered on the following wavelet families Daubechies, Coiflet, Symmlet, Biorthogonal and Reverse Biorthogonal. Some simulation results prove the efficiency of the proposed selection method.
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Dates et versions

hal-01196462 , version 1 (09-09-2015)

Identifiants

  • HAL Id : hal-01196462 , version 1

Citer

Cristina Laura Stolojescu, Ion Railean, Sorin Moga, Alexandru Isar. Comparison of wavelet families with application to wimax traffic forecasting. OPTIM 2010 : 12th International Conference on Optimization of Electrical and Electronic Equipment, May 2010, Brasov, Roumanie. pp.932 - 937. ⟨hal-01196462⟩
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