PyEMD
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Python implementation of Empirical Mode Decompoisition (EMD) method
Hello, I would like to know whether the 'CEEMDAN()' provided in pyEMD is actually the **ICEEMDAN** proposed by Colominas2014? Because I found a gap in the number of IMFs obtained...
Since a lot of papers that use EMD showcase power spectrum plots. I was wondering if you could add one in the visualization.py file?
**Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Short code showing how to reproduce the issue. **Expected behavior** A clear and concise description...
**Describe the bug** The re-scaling step in the "a posterior" test is not accurate at the moment. In the current method, the IMFs are rescaled using a "subtraction/addition" operation. This...
I am using the CEEMDAN method the way it's in the documentation and it's taking a really long time. Using PyEMD- EMD takes around 2 minutes, EEMD around 17, and...
Happy new year @laszukdawid ;) I am always thankful to you and your package! I have some question about **EEMD** ### Problem: Ensemble dependency In my study, I check ensemble...
Specifically line 191 of EEMD `max_imfNo = max([IMFs.shape[0] for IMFs in all_IMFs_1])` whenever it hits this line it opens up a tkinter "open" file dialogue window for every IMF generated...
I used the CEEDMAN like this ` ceemdan = CEEMDAN(parallel=False) ceemdan.trials = 10 max_IMF = 5 eIMFs = ceemdan.ceemdan(ts, max_imf=5)` But get the result as [[ 0. 0. 0. ......
Hi I am trying set a seed for the random numbers generation for make my code reusable, but I got this: ``` CEEMDAN.noise_seed(self,seed=7) NameError: name 'self' is not defined ```...