Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… 
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… 
2006
2006
  • S. Havemann
  • 2006
  • Corpus ID: 129417713
Remote sensing with the new generation of highly spectrally resolving instruments like the Atmospheric Research Interferometer… 
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… 
1996
1996
Empirical orthogonal functions (EOFs) and the corresponding eigenvalues are an important ingredient in formulating the linear…