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A Stochastic Theory of Wavelets

dc.contributorIlić, Velimir
dc.creatorMilovanović, Miloš
dc.creatorTomić, Bojan
dc.date.accessioned2023-02-07T10:41:26Z
dc.date.available2023-02-07T10:41:26Z
dc.date.issued2019
dc.identifier.isbn978-86-80593-68-5
dc.identifier.urihttp://rimsi.imsi.bg.ac.rs/handle/123456789/1708
dc.description.abstractThe term wavelet implies a function generating base for decomposition of the finite energy signals both in spatial and in frequency domain concurrently. Construction of wavelets that have compact support and arbitrary high regularity was ultimately done by Ingrid Daubechies in 1988. Detailed subspaces of the multiresolution analyses are regarded to be the age eigenstates wandering in terms of the evolution. Future expansion of this topic would be useful.sr
dc.language.isoensr
dc.publisherMathematical Institute of the Serbian Academy of Sciences and Artssr
dc.publisherInstitute of Physics Belgradesr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/174014/RS//sr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/44006/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/179048/RS//
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceThe Seventh Conference on Information Theory and Complex Systems TINKOS 2019sr
dc.subjectstochastic processessr
dc.subjecttime operatorsr
dc.subjectmultiresolutionsr
dc.subjectreal and p-adic analysissr
dc.titleA Stochastic Theory of Waveletssr
dc.typeconferenceObjectsr
dc.rights.licenseBY-NC-NDsr
dc.citation.epage9
dc.citation.spage8
dc.identifier.fulltexthttp://rimsi.imsi.bg.ac.rs/bitstream/id/4273/TINKOS_2019.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_rimsi_1708
dc.type.versionpublishedVersionsr


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