Using a Discriminator to Improve Compressive Sensing Efficiency

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dc.contributor.advisorBenedetto, Johnen_US
dc.contributor.authorHencke, Kevinen_US
dc.contributor.departmentApplied Mathematics and Scientific Computationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2012-07-10T05:36:11Z
dc.date.available2012-07-10T05:36:11Z
dc.date.issued2012en_US
dc.description.abstractOur work defines, implements, and evaluates a modification to a spectrum-based compression scheme for data streams coming from jet aircraft health-monitoring sensors. The modification consists of the addition of a discriminator which separates data streams into similar classes. We create and justify a simulation of a jet sensor network as a source for data streams. The data streams are compressed and decompressed under the new compression scheme and also under two old ones, and the reconstructions are evaluated for quality. The discriminator-based modification to the existing compression algorithm is found to yield better quality than the other two compression algorithms, at the cost of increased runtime.en_US
dc.identifier.urihttp://hdl.handle.net/1903/12795
dc.subject.pqcontrolledApplied mathematicsen_US
dc.subject.pqcontrolledComputer scienceen_US
dc.subject.pqcontrolledMathematicsen_US
dc.subject.pquncontrolledcompressionen_US
dc.subject.pquncontrolledCompressive sensingen_US
dc.subject.pquncontrolledfault detectionen_US
dc.subject.pquncontrolledFourier analysisen_US
dc.subject.pquncontrolledPrincipal Component Analysisen_US
dc.subject.pquncontrolledSpectral analysisen_US
dc.titleUsing a Discriminator to Improve Compressive Sensing Efficiencyen_US
dc.typeThesisen_US

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