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dc.contributor.authorSong, Zen_US
dc.contributor.authorZhang, Hen_US
dc.contributor.authorFuller, Sen_US
dc.contributor.authorLambert, Aen_US
dc.contributor.authorYing, Zen_US
dc.contributor.authorMahonen, Pen_US
dc.contributor.authorEldar, Yen_US
dc.contributor.authorCui, Sen_US
dc.contributor.authorPlumbley, MDen_US
dc.contributor.authorParini, Cen_US
dc.contributor.authorNallanathan, Aen_US
dc.contributor.authorGao, Yen_US
dc.date.accessioned2024-07-16T08:26:46Z
dc.date.issued2023-12-01en_US
dc.identifier.issn2095-2228en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/98163
dc.relation.ispartofFrontiers of Computer Scienceen_US
dc.titleNumerical evaluation on sub-Nyquist spectrum reconstruction methodsen_US
dc.typeArticle
dc.rights.holder© 2024 Springer Nature
dc.identifier.doi10.1007/s11704-023-2520-3en_US
pubs.issue6en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume17en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
rioxxterms.funder.projectb215eee3-195d-4c4f-a85d-169a4331c138en_US


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