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End-to-end learning from spectrum data a deep learning approach for wireless signal identification in spectrum monitoring applications

dc.contributor.authorKulin, Merima
dc.contributor.authorKazaz, Tarik
dc.contributor.authorMoerman, Ingrid
dc.contributor.authorDe Poorter, Eli
dc.date.accessioned2021-10-25T21:18:20Z
dc.date.available2021-10-25T21:18:20Z
dc.date.issued2018
dc.identifier.issn2169-3536
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/31090
dc.sourceIIOimport
dc.titleEnd-to-end learning from spectrum data a deep learning approach for wireless signal identification in spectrum monitoring applications
dc.typeJournal article
dc.contributor.imecauthorMoerman, Ingrid
dc.contributor.imecauthorDe Poorter, Eli
dc.contributor.orcidimecMoerman, Ingrid::0000-0003-2377-3674
dc.contributor.orcidimecDe Poorter, Eli::0000-0002-0214-5751
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage18484
dc.source.endpage18501
dc.source.journalIEEE Access
dc.source.volume6
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8325299/
imec.availabilityPublished - open access


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