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RCS prediction using cauchy method with increasing prediction frequency

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dc.contributor.authorSeol, K.-
dc.contributor.authorKoh, J.-
dc.contributor.authorHan, S.-
dc.date.accessioned2022-12-26T18:16:13Z-
dc.date.available2022-12-26T18:16:13Z-
dc.date.issued2018-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/13075-
dc.description.abstractIn this paper, we apply the Cauchy method, the LPF, the SVD and the TLS theory using the RCS data in the low frequency band and predict the RCS data in the high frequency band. As the predicted frequency increases, the error between the original data and the predicted data is confirmed. ? 2018 IEEE.-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleRCS prediction using cauchy method with increasing prediction frequency-
dc.typeArticle-
dc.identifier.doi10.1109/ICCE.2018.8326179-
dc.identifier.scopusid2-s2.0-85048827959-
dc.identifier.wosid000450073500122-
dc.identifier.bibliographicCitation2018 IEEE International Conference on Consumer Electronics, ICCE 2018, v.2018-January-
dc.citation.title2018 IEEE International Conference on Consumer Electronics, ICCE 2018-
dc.citation.volume2018-January-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
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