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Empirical Mode Decomposition Toolbox

Toolbox for Empirical Mode Decomposition of 1-D, 2-D and more dimesional signals.
(406 downloads for this version - 33649 downloads for all versions)
Details
Version
1.4
Authors
Gabriel Rilling
Holger Nahrstaedt
Owner Organization
TU Berlin / FG Regelungssysteme
Maintainers
Jean-Yves Baudais
Holger Nahrstaedt
Administrator Atoms
License
Dependencies
Creation Date
May 18, 2021
Source created on
Scilab 6.1.x
Binaries available on
The maintainer of this module has not provided binaries.
Description
            Toolbox for Empirical Mode Decomposition of 1-D, 2-D and more dimensional
signals.

Summary from Wikipedia (http://en.wikipedia.org/wiki/Hilbert-Huang_transform):

Using the EMD method, any complicated data set can be decomposed into a finite
and often small number of components, which is a collection of intrinsic mode
functions (IMF). An IMF represents a generally simple oscillatory mode as a
counterpart to the simple harmonic function. By definition, an IMF is any
function with the same number of extrema  and zero crossings, with its envelopes
being symmetric with respect to zero. The definition of an IMF guarantees a
well-behaved Hilbert transform of the IMF. This decomposition method operating
in the time domain is adaptive  and highly efficient. Since the decomposition is
based on the local characteristic time scale of the data, it can be applied to
nonlinear and nonstationary processes.

Changelog
--------------
1.4  - bugfixes under scilab 6.1

1.3  - several bugfixes
     - emd_instfreq added
     - io, rmtag, addtag, findtag, peaks, local_peaks, zero_crossing, dirstretch
have now emd_ as prefix
     - help pages and demos fixed

1.2  - works under scilab 5.4

1.1  - some Bugs are removed
     - help chapter are added

1.0  Initial release            
Files (1)
[472.72 kB]
Source code archive

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