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Identification of two-dimensional complex sinusoids in white noise: a state-space frequency approach
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0003-4619-8879
2018 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2018. no 15, p. 996-1001
Series
IFAC-PapersOnLine, ISSN 2405-8963 ; 51:15
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-366284DOI: 10.1016/j.ifacol.2018.09.064ISI: 000446599200168OAI: oai:DiVA.org:uu-366284DiVA, id: diva2:1264051
Conference
SYSID 2018, July 9–11, Stockholm, Sweden
Available from: 2018-10-08 Created: 2018-11-19 Last updated: 2018-12-14Bibliographically approved

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Söderström, Torsten

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