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Clustering of Cyclostationary Signals with Applications to Climate Station Sitings, Eliminations, and Merges

contributor authorSchkoda, Ryan F.
contributor authorLund, Robert B.
contributor authorWagner, John R.
date accessioned2020-03-12T18:37:56Z
date available2020-03-12T18:37:56Z
date issued2014
identifier issn1939-1404
identifier other6693733.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/964987?show=full
formatgeneral
languageEnglish
publisherIEEE
titleClustering of Cyclostationary Signals with Applications to Climate Station Sitings, Eliminations, and Merges
typeJournal Paper
contenttypeMetadata Only
identifier padid7998577
subject keywordsatmospheric techniques
subject keywordsclimatology
subject keywordsstorms
subject keywordsCarolina Coast
subject keywordsGaussian data
subject keywordsGulf of Mexico
subject keywordsNOAA data buoy catalog
subject keywordsNational Oceanic and Atmospheric Administration
subject keywordsPacific Ocean
subject keywordsclassical Hotelling statistics
subject keywordsclimate station
subject keywordsclustering algorithm
subject keywordscomponent-by-component autocovariances
subject keywordsconstant-mean speech methods
subject keywordscyclostationary signal clustering
subject keywordslevel-alpha test statistic
subject keywordslinear prediction theory
subject keywordsmultidimensional cyclostationary climatological time series
subject keywordsnatural clusters
subject keywordsoffshore Ne
identifier doi10.1109/JSTARS.2013.2293713
journal titleSelected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
journal volume7
journal issue5
filesize1842896
citations0


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