Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3259
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dc.contributorDahleh, Munther A.-
dc.contributorTheodosopoulos, Theodore.-
dc.contributorTsitsiklis, John N.-
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.-
dc.date2003-04-29T15:36:52Z-
dc.date2003-04-29T15:36:52Z-
dc.date1992-
dc.date.accessioned2013-06-04T16:16:27Z-
dc.date.available2013-06-04T16:16:27Z-
dc.date.issued2013-06-05-
dc.identifierhttp://hdl.handle.net/1721.1/3259-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionMunther A. Dahleh, Theodore Theodosopoulos, John N. Tsitsiklis.-
dc.descriptionIncludes bibliographical references (p. 12-13).-
dc.descriptionSupported by the AFOSR. AFOSR-91-0368 Supported by the NSF. 9157306-ECS ECS-8552419-
dc.format13 p.-
dc.format859008 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems]-
dc.relationLIDS-P ; 2101-
dc.subjectTK7855.M41 E3845 no.2101-
dc.titleThe sample complexity of worst-case identification of F.I.R. linear systems-
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