Logo BSU

Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/94681
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMirotin, E.-
dc.date.accessioned2014-04-23T07:18:55Z-
dc.date.available2014-04-23T07:18:55Z-
dc.date.issued2010-
dc.identifier.urihttp://elib.bsu.by/handle/123456789/94681-
dc.description.abstractThe 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.ru
dc.language.isoenru
dc.publisherMinsk: BSUru
dc.subjectЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатикаru
dc.titleData series forecasting using non-decimated wavelet transformru
dc.typeconference paperru
Appears in Collections:Section 3. PROBABILITY AND STATISTICAL ANALYSIS OF TIME SERIES AND STOCHASTIC PROCESSES

Files in This Item:
File Description SizeFormat 
Untitled0246.pdf82,11 kBAdobe PDFView/Open
Show simple item record Google Scholar



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.