Empirical Mode Decomposition
It decomposes a given signal into a set of intrinsic mode functions that are essentially AM/FM modul
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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 (2026). Empirical Mode Decomposition (https://www.mathworks.com/matlabcentral/fileexchange/21409-empirical-mode-decomposition), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (4.86 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
