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dc.contributorMusicus, Bruce R.en_US
dc.date.accessioned2004-03-02T18:52:51Z
dc.date.available2004-03-02T18:52:51Z
dc.date.issued1982en_US
dc.identifier.other496en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/4247
dc.descriptionOriginally published as thesis (Dept. of Electrical Engineering and Computer Science, Ph.D., 1982).en_US
dc.descriptionIncludes bibliographies.en_US
dc.description.sponsorshipSupported in part by the Advanced Research Projects Agency monitored by ONR under Contract N00014-81-K-0742 NR-049-506 Supported in part by the National Science Foundation under Grant ECS80-07102en_US
dc.description.statementofresponsibilityBruce Ronald Musicus.en_US
dc.format.extent466 p.en_US
dc.format.extent23092038 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technology, Research Laboratory of Electronicsen_US
dc.relation.ispartofseriesTechnical report (Massachusetts Institute of Technology. Research Laboratory of Electronics) ; 496.en_US
dc.subject.lccTK7855.M41 R43 no.496en_US
dc.subject.lcshSignal processing Digital techniquesen_US
dc.subject.lcshEstimation theoryen_US
dc.subject.lcshIterative methods (Mathematics)en_US
dc.subject.lcshEntropy (Information theory)en_US
dc.subject.lcshStochastic processesen_US
dc.titleIterative algorithms for optimal signal reconstruction and parameter identification given noisy and incomplete dataen_US


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