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Article: Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold

TitleAutomatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold
Authors
Issue Date2018
Citation
IEEE Transactions on Signal Processing, 2018, v. 66, p. 6031-6046 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/277222

 

DC FieldValueLanguage
dc.contributor.authorDU, Y-
dc.contributor.authorZHU, G-
dc.contributor.authorZhang, J-
dc.contributor.authorHuang, K-
dc.date.accessioned2019-09-20T08:46:56Z-
dc.date.available2019-09-20T08:46:56Z-
dc.date.issued2018-
dc.identifier.citationIEEE Transactions on Signal Processing, 2018, v. 66, p. 6031-6046-
dc.identifier.urihttp://hdl.handle.net/10722/277222-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Signal Processing-
dc.titleAutomatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold-
dc.typeArticle-
dc.identifier.emailHuang, K: huangkb@eee.hku.hk-
dc.identifier.authorityHuang, K=rp01875-
dc.identifier.doi10.1109/TSP.2018.2873542-
dc.identifier.hkuros305396-
dc.identifier.volume66-
dc.identifier.spage6031-
dc.identifier.epage6046-

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