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Regression Methods of Obtaining Angular Superresolution
Russian Technological University (MIREA), Moscow, Russia.
Russian Technological University (MIREA), Moscow, Russia.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Mathematics.ORCID iD: 0000-0002-2691-2820
2019 (English)In: 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), New Dehli: IEEE, 2019, article id 8738539Conference paper, Published paper (Refereed)
Abstract [en]

New methods of signal processing based on nonlinear regression methods are presented. They allow us to restore images of individual objects of group targets with superresolution at signal-to-noise ratios that are significantly lower than those provided by the known methods.
Place, publisher, year, edition, pages
New Dehli: IEEE, 2019. article id 8738539
Keywords [en]
Signal resolution, Image resolution, Signal to noise ratio, Image restoration, Radar, Inverse problems
National Category
Other Engineering and Technologies Mathematics
Identifiers
URN: urn:nbn:se:hig:diva-30553DOI: 10.23919/URSIAP-RASC.2019.8738539ISI: 000491262700392Scopus ID: 2-s2.0-85068588586ISBN: 978-908-25987-5-9 (electronic)ISBN: 978-908-25987-4-2 (print)ISBN: 978-1-5386-8551-8 (print)OAI: oai:DiVA.org:hig-30553DiVA, id: diva2:1345032
Conference
URSI AP-RASC 2019, 09 - 15 March 2019, New Delhi, India
Available from: 2019-08-22 Created: 2019-08-22 Last updated: 2022-09-15Bibliographically approved

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Shestopalov, Yury V.

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CiteExportLink to record
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  • apa
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Output format
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