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dc.contributor.authorTeke O.en_US
dc.contributor.authorArikan, O.en_US
dc.contributor.authorGurbuz, A.C.en_US
dc.date.accessioned2016-02-08T11:59:58Z
dc.date.available2016-02-08T11:59:58Z
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/11693/27707
dc.description.abstractCompressive Sensing (CS) theory details how a sparsely represented signal in a known basis can be reconstructed using less number of measurements. In many practical systems, the observation signal has a sparse representation in a continuous parameter space. This situation rises the possibility of use of the CS reconstruction techniques in the practical problems. In order to utilize CS techniques, the continuous parameter space have to be discretized. This discritization brings the well-known off-grid problem. To prevent the off-grid problem, this study offers a recursive approach which discritizes the parameter space in an adaptive manner. The simulations show that the proposed approach can estimate the parameters with a high accuracy even if targets are closely spaced. © 2014 IEEE.en_US
dc.language.isoTurkishen_US
dc.source.title2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2014.6830436en_US
dc.subjectBasis Mismatchen_US
dc.subjectCompressive Sensingen_US
dc.subjectRecursive Solutionen_US
dc.subjectElectrical engineeringen_US
dc.subjectSignal processingen_US
dc.subjectBasis Mismatchen_US
dc.subjectCompressive sensingen_US
dc.subjectContinuous parametersen_US
dc.subjectPractical problemsen_US
dc.subjectReconstruction techniquesen_US
dc.subjectRecursive approachen_US
dc.subjectRecursive solutionsen_US
dc.subjectSparse representationen_US
dc.subjectSignal reconstructionen_US
dc.titleA recursive approach to reconstruction of sparse signalsen_US
dc.title.alternativeSeyrek sinyallerin geri çatimina özyineli bir yaklaşimen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage1142en_US
dc.citation.epage1145en_US
dc.identifier.doi10.1109/SIU.2014.6830436en_US
dc.publisherIEEE Computer Societyen_US


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