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dc.contributorBhatia, M.en_US
dc.contributorKarl, William Clement.en_US
dc.contributorWillsky, Alan S.en_US
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.en_US
dc.date.accessioned2003-04-29T15:39:03Z
dc.date.available2003-04-29T15:39:03Z
dc.date.issued1993en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/3327
dc.descriptionCaption title.en_US
dc.descriptionIncludes bibliographical references (p. 33-35).en_US
dc.description.sponsorshipSupported by the Office of Naval Research. N00014-91-J-1004 Supported by the US Army Research Office. DAAL03-92-G-0115 Supported by the Air Force Office of Scientific Research. F49620-92-J-0002en_US
dc.description.statementofresponsibilityM. Bhatia, W.C. Karl and A.S. Willsky.en_US
dc.format.extent35 p.en_US
dc.format.extent2502538 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systemsen_US
dc.relation.ispartofseriesLIDS-P ; 2196en_US
dc.subject.lccTK7855.M41 E3845 no.2196en_US
dc.titleUsing natural wavelet bases and multiscale stochastic models for tomographic reconstructionen_US


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