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dc.contributor.authorRailo, Jesse
dc.date.accessioned2020-08-03T07:12:53Z
dc.date.available2020-08-03T07:12:53Z
dc.date.issued2020
dc.identifier.citationRailo, J. (2020). Fourier Analysis of Periodic Radon Transforms. <i>Journal of Fourier Analysis and Applications</i>, <i>26</i>(4), Article 64. <a href="https://doi.org/10.1007/s00041-020-09775-1" target="_blank">https://doi.org/10.1007/s00041-020-09775-1</a>
dc.identifier.otherCONVID_41671248
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/71312
dc.description.abstractWe study reconstruction of an unknown function from its d-plane Radon transform on the flat torus {\mathbb {T}}^n = {\mathbb {R}}^n /{\mathbb {Z}}^n when 1 \le d \le n-1. We prove new reconstruction formulas and stability results with respect to weighted Bessel potential norms. We solve the associated Tikhonov minimization problem on H^s Sobolev spaces using the properties of the adjoint and normal operators. One of the inversion formulas implies that a compactly supported distribution on the plane with zero average is a weighted sum of its X-ray data.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherSpringer; Birkhäuser
dc.relation.ispartofseriesJournal of Fourier Analysis and Applications
dc.rightsCC BY 4.0
dc.subject.otherRadon transform
dc.subject.otherFourier analysis
dc.subject.otherperiodic distributions
dc.subject.otherregularization
dc.titleFourier Analysis of Periodic Radon Transforms
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202008035460
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.contributor.oppiaineMatematiikkafi
dc.contributor.oppiaineInversio-ongelmien huippuyksikköfi
dc.contributor.oppiaineMathematicsen
dc.contributor.oppiaineCentre of Excellence in Inverse Problemsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1069-5869
dc.relation.numberinseries4
dc.relation.volume26
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2020
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber284715 HY
dc.relation.grantnumber309963
dc.format.contentfulltext
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/s00041-020-09775-1
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramCentre of Excellence, AoFen
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramHuippuyksikkörahoitus, SAfi
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundinginformationOpen access funding provided by University of Jyväskylä (JYU). This work was supported by the Academy of Finland (Center of Excellence in Inverse Modelling and Imaging, Grant Numbers 284715 and 309963).
dc.type.okmA1


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