Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/4247
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dc.contributorMusicus, Bruce R.-
dc.date2004-03-02T18:52:51Z-
dc.date2004-03-02T18:52:51Z-
dc.date1982-
dc.date.accessioned2013-10-09T02:34:36Z-
dc.date.available2013-10-09T02:34:36Z-
dc.date.issued2013-10-09-
dc.identifier496-
dc.identifierhttp://hdl.handle.net/1721.1/4247-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionBruce Ronald Musicus.-
dc.descriptionOriginally published as thesis (Dept. of Electrical Engineering and Computer Science, Ph.D., 1982).-
dc.descriptionIncludes bibliographies.-
dc.descriptionSupported 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 ECS80-07102-
dc.format466 p.-
dc.format23092038 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMassachusetts Institute of Technology, Research Laboratory of Electronics-
dc.relationTechnical report (Massachusetts Institute of Technology. Research Laboratory of Electronics) ; 496.-
dc.subjectTK7855.M41 R43 no.496-
dc.subjectSignal processing Digital techniques-
dc.subjectEstimation theory-
dc.subjectIterative methods (Mathematics)-
dc.subjectEntropy (Information theory)-
dc.subjectStochastic processes-
dc.titleIterative algorithms for optimal signal reconstruction and parameter identification given noisy and incomplete data-
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