Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/6697
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dc.contributor.authorShukla, Niraj Kumaren_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-21T10:50:15Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-21T10:50:15Z-
dc.date.issued2014-
dc.identifier.citationShukla, N. K., & Mittal, S. (2014). Wavelets on the spectrum. Numerical Functional Analysis and Optimization, 35(4), 461-486. doi:10.1080/01630563.2013.848366en_US
dc.identifier.issn0163-0563-
dc.identifier.otherEID(2-s2.0-84896752740)-
dc.identifier.urihttps://doi.org/10.1080/01630563.2013.848366-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/6697-
dc.description.abstractGabardo and Nashed have introduced a generalized notion of multiresolution analysis, called nonuniform multiresolution analysis (NUMRA), based on the theory of spectral pairs (Ω, Λ) in which the translation set is a spectrum Λ which is not necessarily a group nor a uniform discrete set, given by, where N ≥ 1 (an integer) and r is an odd integer with 1 ≤ r ≤ 2N-1 such that r and N are relatively prime and integers is the set of integers. In this article the theory of wavelets on the spectrum is developed. To describe wavelets in the nonuniform discrete setting, first we provide a characterization of an orthonormal basis for l 2(Λ) and then show that the Hilbert space l 2(Λ) can be expressed as an orthogonal decomposition in terms of countable number of its closed subspaces. In addition, we show that the wavelets associated with NUMRA are connected with the wavelets on the spectrum. © 2014 Taylor & Francis Group, LLC.en_US
dc.language.isoenen_US
dc.sourceNumerical Functional Analysis and Optimizationen_US
dc.subjectClosed subspaceen_US
dc.subjectDiscrete setsen_US
dc.subjectDiscrete settingsen_US
dc.subjectNon-uniform multi-resolution analysisen_US
dc.subjectOrthogonal decompositionen_US
dc.subjectOrthonormal basisen_US
dc.subjectSpectral pairsen_US
dc.subjectWavelets on the integersen_US
dc.subjectFunctional analysisen_US
dc.subjectMathematical techniquesen_US
dc.subjectMultiresolution analysisen_US
dc.titleWavelets on the spectrumen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Mathematics

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