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Comparative analysis of sparse signal recovery algorithms based on minimization norms

contributor authorHaider, Hassaan
contributor authorShah, Jawad Ali
contributor authorAli, Usman
date accessioned2020-03-12T22:55:18Z
date available2020-03-12T22:55:18Z
date issued2014
identifier other7030100.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1099222?show=full
formatgeneral
languageEnglish
publisherIEEE
titleComparative analysis of sparse signal recovery algorithms based on minimization norms
typeConference Paper
contenttypeMetadata Only
identifier padid8240773
subject keywordsagriculture
subject keywordsn air pollution
subject keywordsn climate mitigation
subject keywordsn farming
subject keywordsn geographic information systems
subject keywordsn soil
subject keywordsn China
subject keywordsn DNDC model
subject keywordsn GIS database
subject keywordsn GIS technical
subject keywordsn Guangdong
subject keywordsn Guangxi
subject keywordsn Hainan
subject keywordsn Hunan
subject keywordsn Jiangsu
subject keywordsn Jiangxi
subject keywordsn Zhejiang
subject keywordsn climate change
subject keywordsn climate situation
subject keywordsn denitrification-decomposition model
subject keywordsn field management data
subject keywordsn global warming
subject keywordsn greenhouse gases
subject keywordsn harmonized world soil database
subject keywordsn meteorological stations
subject keywordsn methane
identifier doi10.1109/Agro-Geoinformatics.2014.6910624
journal titleustainable Technologies (WCST), 2014 World Congress on
filesize697804
citations0


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