Empirical Orthogonal Function (EOF) 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 of orthogonal basis functions which are determined from the data. It is the same as performing a principal components analysis on the data, except that the EOF method finds both time series and spatial patterns. The term is also interchangeable with the geographically weighted PCAs in geophysics.
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Zhou Chunlüe (2025). Empirical Orthogonal Function (EOF) analysis (https://www.mathworks.com/matlabcentral/fileexchange/54416-empirical-orthogonal-function-eof-analysis), MATLAB Central File Exchange. Recuperato .
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Ispirato da: Empirical orthogonal function (PCA) estimation for EEG time series
Ispirato: Empirical Orthogonal Function (EOF) with Spatiotemporal Convertion, EOF
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Versione | Pubblicato | Note della release | |
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1.0.0.0 | update the figure |