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Regression Methods of Obtaining Angular Superresolution
Russian Technological University (MIREA), Moscow, Russia.
Russian Technological University (MIREA), Moscow, Russia.
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för elektroteknik, matematik och naturvetenskap, Matematik.
2019 (engelsk)Inngår i: 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), New Dehli: IEEE, 2019, artikkel-id 8738539Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
New Dehli: IEEE, 2019. artikkel-id 8738539
Emneord [en]
Signal resolution, Image resolution, Signal to noise ratio, Image restoration, Radar, Inverse problems
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Identifikatorer
URN: urn:nbn:se:hig:diva-30553DOI: 10.23919/URSIAP-RASC.2019.8738539ISI: 000491262700392Scopus ID: 2-s2.0-85068588586ISBN: 978-908-25987-5-9 (digital)ISBN: 978-908-25987-4-2 (tryckt)ISBN: 978-1-5386-8551-8 (tryckt)OAI: oai:DiVA.org:hig-30553DiVA, id: diva2:1345032
Konferanse
URSI AP-RASC 2019, 09 - 15 March 2019, New Delhi, India
Tilgjengelig fra: 2019-08-22 Laget: 2019-08-22 Sist oppdatert: 2019-11-25bibliografisk kontrollert

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