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A Systems Perspective on Compressed Sensing and its Use in Reconstructing Sparse Networks

contributor authorMadni, Azad M.
date accessioned2020-03-12T18:22:02Z
date available2020-03-12T18:22:02Z
date issued2014
identifier issn1932-8184
identifier other6475149.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/956073?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Systems Perspective on Compressed Sensing and its Use in Reconstructing Sparse Networks
typeJournal Paper
contenttypeMetadata Only
identifier padid7987977
subject keywordscompressed sensing
subject keywordsdata compression
subject keywordsencoding
subject keywordsreverse engineering
subject keywordssignal representation
subject keywordsvectors
subject keywordscompressed sensing
subject keywordscompressive sensing
subject keywordsnatural signal coding
subject keywordsnatural signal compression
subject keywordsnatural signal recovery
subject keywordsrandom vectors
subject keywordsremote sensing
subject keywordsreverse engineering problem
subject keywordssignal processing
subject keywordssocial networks
subject keywordssparse network reconstruction problem
subject keywordsApproximation algorithms
subject keywordsCompressed sensing
subject keywordsImage coding
subject keywordsImage reconstruction
subject keywordsMatching pursuit algorithms
subject keywordsSensors
subject keywordsVectors
subject keywordsCompressed sensin
identifier doi10.1109/JSYST.2012.2211191
journal titleSystems Journal, IEEE
journal volume8
journal issue1
filesize98500
citations0


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