Empirical orthogonal functions

Known as: EOF, Empirical orthogonal function, Functional principal components analysis 
In statistics and signal processing, the method of empirical orthogonal function (EOF) analysis is a decomposition of a signal or data set in terms… (More)
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2017
2017
Oceanographic fronts are boundaries between water masses with differences in hydrography. Often the presence of fronts coincide… (More)
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2016
2016
This Article is brought to you for free and open access by the Center for Coastal Physical Oceanography at ODU Digital Commons… (More)
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2011
2011
[1] Cyclostationary empirical orthogonal functions, derived from satellite altimetry, are combined with historical sea level… (More)
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2010
2010
In this paper the development of a parametric transformation linking the meteorological conditions with the sea response for the… (More)
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2009
2009
  • Paola Prado
  • 6th International Conference on Electrical…
  • 2009
In this paper, a method for detection of propagating features in wide-area system measurements through its traveling and standing… (More)
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2009
2009
This report presents a Bayesian version of empirical orthogonal functions (EOFs) and thereby overcomes a difficulty with the… (More)
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Review
2008
Review
2008
Empirical Orthogonal Function (EOF) analysis is a powerful tool for data compression and dimensionality reduction broadly used in… (More)
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Review
2007
Review
2007
Climate and weather constitute a typical example where high dimensional and complex phenomena meet. The atmospheric system is the… (More)
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2007
2007
An approach based on the empirical mode decomposition (EMD) technique and proper orthogonal decomposition is proposed to examine… (More)
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2006
2006
Many geophysical problems involve inverting data in order to obtain meaningful descriptions of the Earth‘s interior. One of the… (More)
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