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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/94681
Title: Data series forecasting using non-decimated wavelet transform
Authors: Mirotin, E.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2010
Publisher: Minsk: BSU
Abstract: The non-decimated wavelet transform (NDWT) is widely used in data forecasting during last decades, though majority of proposed algorithms do not have complete vindication, and are based on intuitive assumptions. This paper tries to put some criteria for choosing the algorithm filter, and shows how some of these criteria can be sufficed in special case of polynomial trend.
URI: http://elib.bsu.by/handle/123456789/94681
Appears in Collections:Section 3. PROBABILITY AND STATISTICAL ANALYSIS OF TIME SERIES AND STOCHASTIC PROCESSES

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