Empirical Mode Decomposition
The Empirical Mode Decomposition is a technique to decompose a given signal into a set of elemental signals called Intrinsic Mode Functions. The Empirical Mode Decomposition is the base of the so-called “Hilbert-Huang Transform” that comprises also a Hilbert Spectral Analysis and an instantaneous frequency computation. A modified improved algorithm for the Empirical Mode Decomposition is implemented. The output is a set of AM/FM modulated signal.
To use it, it is enough to input the signal, two resolutions in dB (~50) and a step value <=1 (normally =1).
Cite As
Manuel Ortigueira (2024). Empirical Mode Decomposition (https://www.mathworks.com/matlabcentral/fileexchange/21409-empirical-mode-decomposition), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Curve Fitting Toolbox > Splines >
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Hilbert and Walsh-Hadamard Transforms >
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