Spectral Algorithms for MRA Orthonormal Wavelets

Título

dc.contributor.author	Gómez Cubillo, Fernando
dc.contributor.author	Villullas Merino, Sergio
dc.date.accessioned	2020-01-11T18:47:58Z
dc.date.available	2020-01-11T18:47:58Z
dc.date.issued	2018
dc.identifier.citation	Operator Theory: Advances and Applications, Vol. 267, 185–198 (2018)	es
dc.identifier.uri	http://uvadoc.uva.es/handle/10324/40086
dc.description	Producción Científica	es
dc.description.abstract	Operator techniques lead to spectral algorithms to compute scaling functions and wavelets associated with multiresolution analyses (MRAs). The spectral algorithms depend on the choice of pairs of suitable orthonormal bases (ONBs). This work presents the spectral algorithms for three different pairs of ONBs: Haar bases, Walsh–Paley bases and trigonometric bases. The Walsh–Paley bases connect wavelet theory and dyadic harmonic analysis. The results for trigonometric bases are the first viable attempt to do a discrete Fourier analysis of the problem.	es
dc.format.mimetype	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Springer	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.title	Spectral Algorithms for MRA Orthonormal Wavelets	es
dc.type	info:eu-repo/semantics/article	es
dc.identifier.publicationfirstpage	185	es
dc.identifier.publicationlastpage	198	es
dc.identifier.publicationvolume	267	es
dc.peerreviewed	SI	es
dc.description.project	MINECO MTM2012-31439 and MTM2014-57129- C2-1-P	es
dc.type.hasVersion	info:eu-repo/semantics/draft	es