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Spectrum estimation with missing values: A regularized nuclear norm minimization approach

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dc.contributor.authorAkçay, Hüseyin
dc.contributor.authorTürkay, Semiha
dc.contributor.orcid0000-0002-8831-2142
dc.contributor.orcid0000-0002-9370-5557
dc.date.accessioned2025-11-13T11:35:31Z
dc.date.issued2016-09-30
dc.identifier.doihttps://doi.org/10.1142/s0219691316500545
dc.identifier.endpage1650054
dc.identifier.issn0219-6913
dc.identifier.issue06
dc.identifier.openalexW2525641292
dc.identifier.startpage1650054
dc.identifier.urihttps://hdl.handle.net/11421/7304
dc.identifier.urihttps://doi.org/10.1142/s0219691316500545
dc.identifier.volume14
dc.language.isoen
dc.relation.ispartofInternational Journal of Wavelets Multiresolution and Information Processing
dc.rightsrestrictedAccess
dc.subjectSubspace topology
dc.subjectMissing data
dc.subjectMinification
dc.subjectAlgorithm
dc.subjectNorm (philosophy)
dc.subjectMatrix norm
dc.subjectMathematics
dc.subjectComputer science
dc.subjectNoise (video)
dc.subjectAmplitude
dc.subjectSpectral density
dc.subjectSpectrum (functional analysis)
dc.subjectMathematical optimization
dc.subjectStatistics
dc.subjectArtificial intelligence
dc.subjectEigenvalues and eigenvectors
dc.subject.sdg7
dc.titleSpectrum estimation with missing values: A regularized nuclear norm minimization approach
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5042802961
local.authorid.openalexA5042860530

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