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Automatic noise reduction in coronary angiography video data by morphological operations

contributor authorBayraktar, H.K. , Mutlu, O. , Iskurt, A.
date accessioned2020-03-12T19:50:40Z
date available2020-03-12T19:50:40Z
date issued2014
identifier other6830687.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/992193?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAutomatic noise reduction in coronary angiography video data by morphological operations
typeConference Paper
contenttypeMetadata Only
identifier padid8111240
subject keywordsapproximation theory
subject keywordscognitive radio
subject keywordsoptimisation
subject keywordsSNR
subject keywordsapproximate formulae
subject keywordsapproximation errors
subject keywordscognitive radio system
subject keywordsdata throughput maximisation
subject keywordsoptimal sensing duration
subject keywordssignal to noise ratio
subject keywordsApproximation methods
subject keywordsCognitive radio
subject keywordsData communication
subject keywordsEquations
subject keywordsSensors
subject keywordsSignal to noise ratio
subject keywordsThroughput
subject keywordsapproximate formula
subject keywordscognitive radio
subject keywordsspectrum sensing
subject keywordsthroughput maximization
identifier doi10.1109/WCSP.2014.6992136
journal titleignal Processing and Communications Applications Conference (SIU), 2014 22nd
filesize502553
citations0


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