Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3478
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dc.contributorKeverian, Kenneth Michael.-
dc.contributorSandell, Nils Richard.-
dc.date2003-04-29T15:43:50Z-
dc.date2003-04-29T15:43:50Z-
dc.date1979-
dc.date.accessioned2013-06-04T16:18:08Z-
dc.date.available2013-06-04T16:18:08Z-
dc.date.issued2013-06-05-
dc.identifierhttp://hdl.handle.net/1721.1/3478-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionby Kenneth M. Keverian, Nils R. Sandell, Jr.-
dc.descriptionOffice of Naval Research Contract ONR/N00014-77-C-0532 (85552).-
dc.descriptionOriginally presented as the first author's thesis, (B.S.) in the M.I.T. Dept. of Electrical Engineering and Computer Science, 1979.-
dc.descriptionBibliography: p. 114-115.-
dc.format115 p.-
dc.format5056351 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems-
dc.relationMassachusetts Institute of Technology. Laboratory for Information and Decision Systems. LIDS-R ; 959-
dc.subjectTK7855.M41 E386 no.959-
dc.subjectAutomatic tracking-
dc.subjectLeast squares-
dc.subjectRegression analysis-
dc.subjectKalman filtering-
dc.titleMultiobject tracking by adaptive hypothesis testing-
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