Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3297
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dc.contributorChou, Kenneth C. (Kenneth Chien-ko)-
dc.contributorWillsky, Alan S.-
dc.contributorNikoukhah, Ramine.-
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.-
dc.date2003-04-29T15:38:09Z-
dc.date2003-04-29T15:38:09Z-
dc.date1992-
dc.date.accessioned2013-06-04T16:16:35Z-
dc.date.available2013-06-04T16:16:35Z-
dc.date.issued2013-06-05-
dc.identifierhttp://hdl.handle.net/1721.1/3297-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionKenneth C. Chou, Alan S. Willsky, Ramine Nikoukhah.-
dc.descriptionIncludes bibliographical references (p. 45-46).-
dc.descriptionSupported by the Air Force Office of Scientific Research. AFOSR-88-0032 Supported by the National Science Foundation. MIP-9015281 INT-9002393 Supported by the Office of Naval Research. N00014-91-J-1004-
dc.format46 p.-
dc.format2497304 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems-
dc.relationLIDS-P ; 2152-
dc.subjectTK7855.M41 E3845 no.2152-
dc.titleMultiscale systems, Kalman filters, and Riccati equations-
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