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Neural network based radioisotope discrimination on polyvinyl toluene radiation portal monitors

contributor authorFombellida, Jorge
contributor authorBlazquez, L.Felipe
contributor authorAller, Fernando
contributor authorVrublevskaya, Svetlana
contributor authorValtuille, Eduardo
date accessioned2020-03-12T21:51:09Z
date available2020-03-12T21:51:09Z
date issued2014
identifier other6961521.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1062780?show=full
formatgeneral
languageEnglish
publisherIEEE
titleNeural network based radioisotope discrimination on polyvinyl toluene radiation portal monitors
typeConference Paper
contenttypeMetadata Only
identifier padid8194825
subject keywordsCMOS analogue integrated circuits
subject keywordsn UHF power amplifiers
subject keywordsn field effect MMIC
subject keywordsn differential common source class-AB RF PA
subject keywordsn floating body based amplifier
subject keywordsn floating body technique
subject keywordsn frequency 1.6 GHz
subject keywordsn highly linear RF power amplifier
subject keywordsn size 130 nm
subject keywordsn triple well CMOS technology
subject keywordsn triple well NMOS RF devices
subject keywordsn voltage 3.3 V
subject keywordsn CMOS integrated circuits
subject keywordsn CMOS technology
subject keywordsn Capacitance
subject keywordsn Gain
subject keywordsn Linearity
subject keywordsn Performance evaluation
subject keywordsn Radio frequency
identifier doi10.1109/PAWR.2014.6825717
journal titleontrol and Automation (MED), 2014 22nd Mediterranean Conference of
filesize407114
citations0


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