Rf Transmitter Classification Based On Front-End Impairments
but.event.date | 27.04.2021 | cs |
but.event.title | STUDENT EEICT 2021 | cs |
dc.contributor.author | Youssefová, Kristina | |
dc.date.accessioned | 2021-07-21T07:06:57Z | |
dc.date.available | 2021-07-21T07:06:57Z | |
dc.date.issued | 2021 | cs |
dc.description.abstract | This paper focuses on classifying Radio Frequency transmitters depending on their Radiofrequencyimperfections using a machine learning algorithm. The theoretical part of the papercan be divided into two branches. In the first branch, possible imperfections in the radio frequencytransmitters are presented. In the second one, the support vector machine algorithm is explained.The practical part deals with the implementation of support vector machines in the MATLAB programand the evaluation of results. | en |
dc.format | text | cs |
dc.format.extent | 179-182 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 179-182. ISBN 978-80-214-5942-7 | cs |
dc.identifier.isbn | 978-80-214-5942-7 | |
dc.identifier.uri | http://hdl.handle.net/11012/200738 | |
dc.language.iso | cs | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers | en |
dc.relation.uri | https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | I/Q imbalance | en |
dc.subject | CFO | en |
dc.subject | classification | en |
dc.subject | machine learning | en |
dc.subject | SVM | en |
dc.subject | ROC | en |
dc.subject | Matlab | en |
dc.title | Rf Transmitter Classification Based On Front-End Impairments | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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