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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… 
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Papers overview

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2013
2013
Variability is one of the key determinants of gait after stroke. Functional Data Analysis (FDA) is a suitable tool to deal with… 
2012
2012
Knowing when and where people use greenspace is key to our understanding of urban ecology. The number of cellular phones active… 
2010
2010
Most of Eastern Africa has arid and semi-arid climate with high space-time variability in rainfall. The droughts are very common… 
2010
2010
Current development of Internet access, together with available zero-cost Open Source applications (like, for instance, PHP… 
2010
2010
In this paper the development of a parametric transformation linking the meteorological conditions with the sea response for the… 
2008
2008
Abstract The natural variability of the Weddell Sea variety of Antarctic Bottom Water (AABW) is examined in a long-term… 
2006
2006
Base on numerical weather forecast (NWF) products, a new prediction method using Artificial Neural Network (ANN) and Genetic… 
2002
2002
Distribution of 6-h accumulated typhoon rainfall over Taiwan area is investigated through empirical orthogonal function (EOF… 
2002
2002
We investigated the vertical variability of the thermal/dynamical structure of the North and tropical Atlantic ocean from a set…