Help implementing CEEMDAN.

[SChandel-cmd]

Hi, I was looking for packages which would help me implement CEEMDAN and came across this repository, I was able to produce IMFs from signals but I wanted to make sure that I was doing it the correct way. To verify your method, I tried to replicate the results of this paper I came across "https://sci-hub.wf/10.1098/rsos.170616", but was unable to do so.

I also made a slight change to your code when I was implementing it. For creating the noise realizations since it is generating a random number each time I set a seed value using - rng('default'); rngflag = rng; rng(rngflag) so that I could reciprocate the results if required. [Uploading H.xlsx…]() I've also attached the data which is said to have been used in the research paper mentioned above.

[SChandel-cmd]

Hi, I was looking for packages which would help me implement CEEMDAN and came across this repository, I was able to produce IMFs from signals but I wanted to make sure that I was doing it the correct way. To verify your method, I tried to replicate the results of this paper I came across "https://sci-hub.wf/10.1098/rsos.170616", but was unable to do so.

I also made a slight change to your code when I was implementing it. For creating the noise realizations since it is generating a random number each time I set a seed value using - rng('default'); rngflag = rng; rng(rngflag) so that I could reciprocate the results if required. Uploading H.xlsx… I've also attached the data which is said to have been used in the research paper mentioned above.

I was unable to upload the data. Here's the link to the data which is said to have been used in the research paper mentioned above. https://datadryad.org/stash/dataset/doi:10.5061/dryad.s4g56

[macolominas]

Hello,

Thanks for your interest in my work. I am not aware of the paper you mentioned. If you want to be sure, please replicate the results from my works where CEEMDAN was first proposed.

Colominas, M. A., Schlotthauer, G., & Torres, M. E. (2014). Improved complete ensemble EMD: A suitable tool for biomedical signal processing. Biomedical Signal Processing and Control, 14, 19-29.

Torres, M. E., Colominas, M. A., Schlotthauer, G., & Flandrin, P. (2011, May). A complete ensemble empirical mode decomposition with adaptive noise. In 2011 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 4144-4147). IEEE.

Please notice that these are the two papers mentioned on my Github repository.

Best, Dr. Marcelo A. Colominas

El vie, 4 nov 2022 a las 5:38, Sarthak Chandel @.***>) escribió:

Hi, I was looking for packages which would help me implement CEEMDAN and came across this repository, I was able to produce IMFs from signals but I wanted to make sure that I was doing it the correct way. To verify your method, I tried to replicate the results of this paper I came across " https://sci-hub.wf/10.1098/rsos.170616", but was unable to do so.

I also made a slight change to your code when I was implementing it. For creating the noise realizations since it is generating a random number each time I set a seed value using - rng('default'); rngflag = rng; rng(rngflag) so that I could reciprocate the results if required. Uploading H.xlsx… I've also attached the data which is said to have been used in the research paper mentioned above.

I was unable to upload the data. Here's the link to the data which is said to have been used in the research paper mentioned above. https://datadryad.org/stash/dataset/doi:10.5061/dryad.s4g56

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