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A 262nW analog front end with a digitally-assisted low noise amplifier for batteryless EEG acquisition

Author:
Bhargava, Pavan
,
Hairston, W.David
,
Proie, Robert M.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICRAIE.2014.6909189
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1098036
Keyword(s): Switches,n Vectors,n hexagonal search,n motion estimation,n motion factor,n motion vector,n video compression
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    A 262nW analog front end with a digitally-assisted low noise amplifier for batteryless EEG acquisition

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contributor authorBhargava, Pavan
contributor authorHairston, W.David
contributor authorProie, Robert M.
date accessioned2020-03-12T22:53:19Z
date available2020-03-12T22:53:19Z
date issued2014
identifier other7028247.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1098036?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleA 262nW analog front end with a digitally-assisted low noise amplifier for batteryless EEG acquisition
typeConference Paper
contenttypeMetadata Only
identifier padid8239066
subject keywordsSwitches
subject keywordsn Vectors
subject keywordsn hexagonal search
subject keywordsn motion estimation
subject keywordsn motion factor
subject keywordsn motion vector
subject keywordsn video compression
identifier doi10.1109/ICRAIE.2014.6909189
journal titleOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S), 2014 IEEE
filesize740830
citations0
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