Fast multidimensional ensemble empirical mode decomposition using a data compression technique

Journal of Climate

Volumn 27, Issue 10, 2014, Pages 3492-3504

  Feng, Jiaxin ^a   Wu, Zhaohua ^a   Liu, Guosheng ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; NANOFLUIDICS; PRINCIPAL COMPONENT ANALYSIS; SEPARATION; TIME MEASUREMENT;

CLIMATE VARIABILITY AND CHANGE; DATA COMPRESSION TECHNIQUES; EMPIRICAL ORTHOGONAL FUNCTION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITIONS (EEMD); OSCILLATORY COMPONENTS; PRINCIPAL COMPONENTS; SEA SURFACE TEMPERATURE (SST);

DATA COMPRESSION;

ALGORITHM; CLIMATE CHANGE; CLIMATE MODELING; CLIMATE VARIATION; DATA INTERPRETATION; DATA SET; DECOMPOSITION ANALYSIS; EMPIRICAL ANALYSIS; ENSEMBLE FORECASTING; PRINCIPAL COMPONENT ANALYSIS; SEA SURFACE TEMPERATURE; SPATIOTEMPORAL ANALYSIS; TEMPORAL EVOLUTION; TIME SERIES;

EID: 84900449688     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-13-00746.1     Document Type: Article

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