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Evaluating Deep Neural Networks to classify Modulated and Coded Radio Signals

dc.contributor.authorCheong, Phui San
dc.contributor.authorCamelo Botero, Miguel
dc.contributor.authorLatre, Steven
dc.date.accessioned2021-10-27T08:01:06Z
dc.date.available2021-10-27T08:01:06Z
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/32701
dc.sourceIIOimport
dc.titleEvaluating Deep Neural Networks to classify Modulated and Coded Radio Signals
dc.typeProceedings paper
dc.contributor.imecauthorCamelo Botero, Miguel
dc.contributor.imecauthorLatre, Steven
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage177
dc.source.endpage188
dc.source.conferenceCognitive Radio Oriented Wireless Networks. 13th EAI International Conference - CROWNCOM 2018
dc.source.conferencedate18/09/2018
dc.source.conferencelocationGent Belgium
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/978-3-030-05490-8_17
imec.availabilityPublished - open access
imec.internalnotesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book seriesl Vol. LNICST 261


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