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dc.contributor.authorÖzçelikkale, A.
dc.contributor.authorÖzaktaş, Haldun M.
dc.date.accessioned2016-02-08T09:41:46Z
dc.date.available2016-02-08T09:41:46Z
dc.date.issued2013en_US
dc.identifier.issn1084-7529
dc.identifier.urihttp://hdl.handle.net/11693/21140
dc.description.abstractA sampling-based framework for finding the optimal representation of a finite energy optical field using a finite number of bits is presented. For a given bit budget, we determine the optimum number and spacing of the samples in order to represent the field with as low error as possible. We present the associated performance bounds as trade-off curves between the error and the cost budget. In contrast to common practice, which often treats sampling and quantization separately, we explicitly focus on the interplay between limited spatial resolution and limited amplitude accuracy, such as whether it is better to take more samples with lower amplitude accuracy or fewer samples with higher accuracy. We illustrate that in certain cases sampling at rates different from the Nyquist rate is more efficient.en_US
dc.language.isoEnglishen_US
dc.source.titleJournal of the Optical Society of America A: Optics and Image Science, and Visionen_US
dc.relation.isversionofhttp://dx.doi.org/10.1364/JOSAA.30.000645en_US
dc.subjectOpticsen_US
dc.subjectFinite numberen_US
dc.subjectNyquist samplingen_US
dc.subjectOptical fielden_US
dc.subjectOptimum numberen_US
dc.subjectPerformance boundsen_US
dc.subjectSampling-baseden_US
dc.subjectSpatial resolutionen_US
dc.subjectTrade-off curvesen_US
dc.subjectBudget controlen_US
dc.titleBeyond Nyquist sampling: a cost-based approachen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage645en_US
dc.citation.epage655en_US
dc.citation.volumeNumber30en_US
dc.citation.issueNumber4en_US
dc.identifier.doi10.1364/JOSAA.30.000645en_US
dc.publisherOptical Society of Americaen_US
dc.contributor.bilkentauthorHaldun M. Özaktaş


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