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dc.contributor.authorPilanci, Merten_US
dc.contributor.authorArıkan, Orhanen_US
dc.contributor.authorOguz, B.en_US
dc.contributor.authorPınar, Mustafa C.en_US
dc.coverage.spatialTaipei, Taiwanen_US
dc.date.accessioned2016-02-08T11:34:17Z
dc.date.available2016-02-08T11:34:17Z
dc.date.issued2009en_US
dc.identifier.issn1520-6149
dc.identifier.urihttp://hdl.handle.net/11693/26734
dc.descriptionDate of Conference: 19-24 April 2009en_US
dc.description.abstractIn many signal processing applications the core problem reduces to a linear system of equations. Coefficient matrix uncertainties create a significant challenge in obtaining reliable solutions. In this paper, we present a novel formulation for solving a system of noise contaminated linear equations while preserving the structure of the coefficient matrix. The proposed method has advantages over the known Structured Total Least Squares (STLS) techniques in utilizing additional information about the uncertainties and robustness in ill-posed problems. Numerical comparisons are given to illustrate these advantages in two applications: signal restoration problem with an uncertain model and frequency estimation of multiple sinusoids embedded in white noise.en_US
dc.language.isoEnglishen_US
dc.source.title2009 IEEE International Conference on Acoustics, Speech and Signal Processingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICASSP.2009.4960320en_US
dc.subjectBounded data uncertaintiesen_US
dc.subjectInverse problemsen_US
dc.subjectRobust solutionsen_US
dc.subjectStructured perturbationsen_US
dc.subjectTotal least squaresen_US
dc.subjectBounded data uncertaintiesen_US
dc.subjectCoefficient matrixen_US
dc.subjectCore problemsen_US
dc.subjectIll posed problemen_US
dc.subjectLeast Squareen_US
dc.subjectLinear system of equationsen_US
dc.subjectMultiple sinusoidsen_US
dc.subjectNumerical comparisonen_US
dc.subjectRobust solutionsen_US
dc.subjectSignal processing applicationsen_US
dc.subjectSignal restorationen_US
dc.subjectStructured perturbationsen_US
dc.subjectStructured total least squaresen_US
dc.subjectTotal least squaresen_US
dc.subjectUncertain modelsen_US
dc.subjectAcousticsen_US
dc.subjectDifferential equationsen_US
dc.subjectFrequency estimationen_US
dc.subjectLinear systemsen_US
dc.subjectSignal processingen_US
dc.subjectInverse problemsen_US
dc.titleStructured least squares with bounded data uncertaintiesen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage3261en_US
dc.citation.epage3264en_US
dc.identifier.doi10.1109/ICASSP.2009.4960320en_US
dc.publisherIEEEen_US
dc.contributor.bilkentauthorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888en_US


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