Human activity classification using simulated micro-Dopplers and time-frequency analysis in conjunction with machine learning algorithm

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dc.contributor.authorAxelsson, Fredrik
dc.contributor.authorGueorguiev, Pavel
dc.contributor.departmentChalmers tekniska högskola / Institutionen för elektrotekniksv
dc.contributor.departmentChalmers University of Technology / Department of Electrical Engineeringen
dc.date.accessioned2019-07-03T14:38:26Z
dc.date.available2019-07-03T14:38:26Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/20.500.12380/252226
dc.language.isoeng
dc.relation.ispartofseriesExamensarbete - Institutionen för elektroteknik, Chalmers tekniska högskola : EX083/2017
dc.setspec.uppsokTechnology
dc.subjectElektroteknik och elektronik
dc.subjectElectrical Engineering, Electronic Engineering, Information Engineering
dc.titleHuman activity classification using simulated micro-Dopplers and time-frequency analysis in conjunction with machine learning algorithm
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeCommunication Engineering (MPCOM), MSc
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