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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.
Cita come
Zhou Chunlüe (2026). Empirical Orthogonal Function (EOF) analysis (https://it.mathworks.com/matlabcentral/fileexchange/54416-empirical-orthogonal-function-eof-analysis), MATLAB Central File Exchange. Recuperato .
Riconoscimenti
Ispirato da: Empirical orthogonal function (PCA) estimation for EEG time series
Ispirato: Empirical Orthogonal Function (EOF) with Spatiotemporal Convertion, EOF
Informazioni generali
- Versione 1.0.0.0 (1,36 KB)
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
| Versione | Pubblicato | Note della release | Action |
|---|---|---|---|
| 1.0.0.0 | update the figure |
