Empirical Mode Decomposition
by Manuel Ortigueira
11 Sep 2008
(Updated 11 Sep 2008)
It decomposes a given signal into a set of intrinsic mode functions that are essentially AM/FM modul
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| Description |
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). |
| Required Products |
Spline Toolbox
Signal Processing Toolbox
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| MATLAB release |
MATLAB 6.5 (R13)
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