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dc.contributor.authorHampton, Robert Lee Thomas, 1939-
dc.creatorHampton, Robert Lee Thomas, 1939-en_US
dc.date.accessioned2013-05-02T09:28:01Z
dc.date.available2013-05-02T09:28:01Z
dc.date.issued1971en_US
dc.identifier.urihttp://hdl.handle.net/10150/287682
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectKalman filtering.en_US
dc.titleSTOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTIONen_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.identifier.oclc27355920en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.identifier.proquest7120075en_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineElectrical Engineeringen_US
thesis.degree.namePh.D.en_US
dc.identifier.bibrecord.b25381842en_US
refterms.dateFOA2018-08-28T22:07:22Z


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