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laszukdawid / PyEMD

Python implementation of Empirical Mode Decompoisition (EMD) method
https://pyemd.readthedocs.io/
Apache License 2.0
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CEEMD Parameters different from paper #80

Closed Jogima-cyber closed 4 years ago

Jogima-cyber commented 4 years ago

Hello there, I'm trying to implement a paper in python, which uses CEEMD. I didn't know this method until I read it. My problem is that the paper specifies following parameters :

Capture d’écran 2020-07-15 à 15 12 52

But I don't find any similar parameters in PyEMD. Do you know how to implement those parameters with CEEMDAN class of PyEMD ? Thanks in advance.

laszukdawid commented 4 years ago

Hi, you can specify max_imfs on every instance run, for example here https://github.com/laszukdawid/PyEMD/blob/master/PyEMD/CEEMDAN.py#L171. Same for the noise scale which is provided on instantiating the CEEMDAN class (code doc https://github.com/laszukdawid/PyEMD/blob/master/PyEMD/CEEMDAN.py#L60-L67). Feel free to take a look at the documentation https://pyemd.readthedocs.io/en/latest/ceemdan.html.

Regarding max iterations that's defined on the EMD. If you want to modify it then I'd suggest you create your own EMD first and then pass it to the CEEMDAN.

from PyEMD import EMD, CEEMDAN
emd = EMD()
emd.MAX_ITERATION = 10000
ceemdan = CEEMDAN(epsilon=... ,ext_EMD=emd)