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2D-frequency domain identification of complex sinusoids in the presence of additive noise
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. 820-825
Series
IFAC-PapersOnLine, ISSN 2405-8963 ; 51:15
National Category
Control Engineering Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-366232DOI: 10.1016/j.ifacol.2018.09.125ISI: 000446599200139OAI: oai:DiVA.org:uu-366232DiVA, id: diva2:1263925
Conference
SYSID 2018, July 9–11, Stockholm, Sweden
Available from: 2018-10-08 Created: 2018-11-18 Last updated: 2018-12-14Bibliographically approved

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Söderström, Torsten

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