Aliasing error of sampling series in wavelet subspaces

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dc.contributor.authorGarcia, AGko
dc.contributor.authorKim, JMko
dc.contributor.authorKwon, Kil Hyunko
dc.contributor.authorPerez-Villalon, Gko
dc.date.accessioned2011-03-21T09:31:44Z-
dc.date.available2011-03-21T09:31:44Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2008-01-
dc.identifier.citationNUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, v.29, no.1-2, pp.126 - 144-
dc.identifier.issn0163-0563-
dc.identifier.urihttp://hdl.handle.net/10203/22848-
dc.description.abstractAlising error arises whenever a sampling formula, valid for a prescribed space, is applied to a function in a bigger space. In this work, we estimate the aliasing error of classic and average sampling expansions in wavelet subspaces of a multiresolution analysis.-
dc.description.sponsorshipThis work was partially supported by KOSEF(R01-2006-000-10424-0) and by the grant MTM2006–09737 from the D.G.I. of the Spanish Ministerio de Ciencia y Tecnología.en
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherTAYLOR & FRANCIS INC-
dc.subjectTHEOREM-
dc.titleAliasing error of sampling series in wavelet subspaces-
dc.typeArticle-
dc.identifier.wosid000253585900007-
dc.identifier.scopusid2-s2.0-40049085159-
dc.type.rimsART-
dc.citation.volume29-
dc.citation.issue1-2-
dc.citation.beginningpage126-
dc.citation.endingpage144-
dc.citation.publicationnameNUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION-
dc.identifier.doi10.1080/01630560701873845-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKwon, Kil Hyun-
dc.contributor.nonIdAuthorGarcia, AG-
dc.contributor.nonIdAuthorPerez-Villalon, G-
dc.type.journalArticleArticle-
dc.subject.keywordAuthoraliasing error-
dc.subject.keywordAuthorsampling-
dc.subject.keywordAuthorwavelet subspace-
dc.subject.keywordPlusTHEOREM-
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