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dc.contributorDoerschuk, Peter Charles.en_US
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.en_US
dc.date.accessioned2003-04-29T15:35:32Z
dc.date.available2003-04-29T15:35:32Z
dc.date.issued1990en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/3215
dc.descriptionCover title.en_US
dc.descriptionIncludes bibliographical references (p. 16).en_US
dc.description.sponsorshipResearch supported by the Army Research Office. DAAL03-86-K-0171 Research supported by the National Science Foundation. ECS-8700903 Research supported by the Air Force Office of Scientific Research. AFOSR-89-0276en_US
dc.description.statementofresponsibilityPeter C. Doerschuk.en_US
dc.format.extent19 p.en_US
dc.format.extent2563195 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 ; 1992en_US
dc.subject.lccTK7855.M41 E3845 no.1992en_US
dc.titleAdaptive Bayesian signal reconstruction and x-ray crystallographyen_US


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