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Analysis of non-invasive writing signals, applied to Essential Tremor: A nonlinear approach

date accessioned2020-03-12T20:55:52Z
date available2020-03-12T20:55:52Z
date issued2014
identifier other6913938.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1030837?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAnalysis of non-invasive writing signals, applied to Essential Tremor: A nonlinear approach
typeConference Paper
contenttypeMetadata Only
identifier padid8156277
subject keywordsLong Term Evolution
subject keywordsmobile computing
subject keywordsmodulation coding
subject keywordsquality of service
subject keywordsresource allocation
subject keywordsscheduling
subject keywordsvideo coding
subject keywordsvideo streaming
subject keywordswireless channels
subject keywordsLTE network
subject keywordsLong Term Evolution network
subject keywordsbuffer aware scheduling approach
subject keywordsbuffer channel condition
subject keywordsbuffer length condition
subject keywordsbuffer underflow
subject keywordsflexible modulation-and-coding scheme
subject keywordsmobile applications
subject keywordspower consumption reduction
subject keywordspower saving
subject keywordspower utilization improvement
subject keywordsquality-of-services
subject keywordsradio resource allocation
subject keywordssystem throu
identifier doi10.1109/WPMC.2014.7014875
journal titleio-inspired Intelligence (IWOBI), 2014 International Work Conference on
filesize472095
citations0
contributor rawauthorLopez-de-Ipina, K. , Bergareche, A. , de la Riva, P. , Faundez-Zanuy, M. , Calvo, P. , Zelarain, F.


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