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Change Detection with Weightless Neural Networks

contributor authorGregorio, Massimo De , Giordano, Maurizio
date accessioned2020-03-12T20:51:41Z
date available2020-03-12T20:51:41Z
date issued2014
identifier other6910014.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1028212?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleChange Detection with Weightless Neural Networks
typeConference Paper
contenttypeMetadata Only
identifier padid8153349
subject keywordsCMOS integrated circuits
subject keywordsdigital-analogue conversion
subject keywordsmodulators
subject keywordsquantisation (signal)
subject keywordsreceivers
subject keywordsBiCMOS process
subject keywordsCT &
subject keywords#x0394
subject keywords&
subject keywords#x03A3
subject keywordsmodulator
subject keywordsSFDR
subject keywordsSiGe
subject keywordsbandwidth 15 MHz
subject keywordscontinuous-time low-pass &
subject keywords#x0394
subject keywords&
subject keywords#x03A3
subject keywordsmodulator
subject keywordsfrequency 1.92 GHz
subject keywordshigh linearity single-bit quantization
subject keywordsmultifunctional receiver
subject keywordspower 220 mW
subject keywordssingle-loop 3rd-order modulator
subject keywordsspurious-free dynamic range
subject keywordsBandwidth
subject keywordsClocks
subject keywordsJitter
subject keywordsLatches
subject keywordsLinearity
subject keywordsModulation
subject keywordsNoise
identifier doi10.1109/NEWCAS.2014.6934087
journal titleomputer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
filesize644490
citations0


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