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dc.contributor.authorAbdelgawwad, Ahmed
dc.contributor.authorCatala, Andreu
dc.contributor.authorPätzold, Matthias Uwe
dc.date.accessioned2021-03-23T11:16:54Z
dc.date.available2021-03-23T11:16:54Z
dc.date.created2020-07-16T16:12:24Z
dc.date.issued2020
dc.identifier.citationAbdelgawwad, A., Catala, A. & Pätzold, M. U. (2020). Doppler Power Characteristics Obtained from Calibrated Channel State Information for Human Activity Recognition. IEEE Vehicular Technology Conference.en_US
dc.identifier.isbn978-1-7281-5207-3
dc.identifier.issn2577-2465
dc.identifier.urihttps://hdl.handle.net/11250/2735058
dc.descriptionAuthor's accepted manuscript.en_US
dc.description© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleDoppler Power Characteristics Obtained from Calibrated Channel State Information for Human Activity Recognitionen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© 2020 IEEEen_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.pagenumber7en_US
dc.source.journalIEEE Vehicular Technology Conferenceen_US
dc.identifier.doihttps://doi.org/10.1109/VTC2020-Spring48590.2020.9129187
dc.identifier.cristin1819631
dc.relation.projectNorges forskningsråd: 261895en_US
cristin.qualitycode1


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