Priscila America Solis M. Barreto

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This work introduces the wavelet transform as an important element for ATM traffic prediction. Two methods are proposed. The first method proposes data fittings by the fGn model of parameter H, adequate for long dependence stationary processes. The estimated H is accomplished by a method based on Wavelet analysis. A small order Wiener filter is projected to(More)
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