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dc.contributor.authorScholze, Sam
dc.contributor.authorHolmes, Austin
dc.contributor.authorGonzales, Tyler
dc.date.accessioned2020-05-11T17:09:59Z
dc.date.available2020-05-11T17:09:59Z
dc.date.issued2018-04
dc.identifier.urihttp://digital.library.wisc.edu/1793/80094
dc.descriptionColor poster with text, graphs, and images.en_US
dc.description.abstractThe goal of this project is to efficiently reconstruct signals when some of the frame measurements are erased or subject to additive noise.en_US
dc.description.sponsorshipUniversity of Wisconsin Eau Claire Office of Research and Sponsored Programs.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesUSGZE AS589;
dc.subjectPostersen_US
dc.subjectMathematicsen_US
dc.subjectParseval framesen_US
dc.subjectDigital signalsen_US
dc.subjectFrames (linear algebra)en_US
dc.titleEfficient Erasure Reconstruction from Noisy Measurementsen_US
dc.typePresentationen_US


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