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A compressive sensing framework for electromyogram and electroencephalogram

date accessioned2020-03-12T20:15:51Z
date available2020-03-12T20:15:51Z
date issued2014
identifier other6860096.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1008047?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA compressive sensing framework for electromyogram and electroencephalogram
typeConference Paper
contenttypeMetadata Only
identifier padid8129826
subject keywordsleast mean squares methods
subject keywordsmedical image processing
subject keywordsobject detection
subject keywordsvisual databases
subject keywordsCLAHE
subject keywordsDDSM databases
subject keywordsOASIS databases
subject keywordsSTARE databases
subject keywordsTMS320C6713T DSP
subject keywordsadaptive clip limit
subject keywordsautomated detection
subject keywordscontrast limited adaptive histogram equalization
subject keywordshuman body
subject keywordsimage quality
subject keywordsleast mean square algorithm
subject keywordsmedical image computing
subject keywordsBiomedical imaging
subject keywordsConferences
subject keywordsHistograms
subject keywordsImage enhancement
subject keywordsIndexes
subject keywordsLeast squares approximations
subject keywordsPSNR
subject keywordsAMBE
subject keywordsCLAHE
subject keywordsClip limit
subject keywordsLMS algorithm
subject keywordsMedical imagi
identifier doi10.1109/ICACCCT.2014.7019300
journal titleedical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
filesize862992
citations0
contributor rawauthorYong-Siang Chen , Hsin-Yi Lin , Hung-Chih Chiu , Hsi-Pin Ma


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