1D Multivariate Empirical Mode Decomposition (MEMD) | Part 1

[@marisap.596]

Thank you! Great explanation with clear and precise slides, really amazing video.

[@estherexplains7521]

thank you very much :)

[@AshuSingh-mw2wt]

Thanks this is what I needed. I was analyzing two related channel data but for each one, I was getting different number of IMFs. It will be awesome if you make a video on how to analyze IMFs using Hilber- Huang transform.

[@estherexplains7521]

my next videos will cover that :)

[@AshuSingh-mw2wt]

@@estherexplains7521 thanx. will be waiting for it.

[@SunilKumar-yq2ey]

please make vedio on these topics LMD, ITD, LCD, HVD, EWT, VMD, NMD and ALIF

[@onusbaum]

Dear Esther ! Great explanation ! i wrote my first EMD code in C# and it works like a dream ! Can you make a video on Hilbert spectrum pleeeease ?

[@estherexplains7521]

Great to hear that! Yes, I am already working on it and I hope that I can upload it next week :)

[@onusbaum]

@@estherexplains7521 you are the ONE, thanks !

[@hesammoradian9180]

thank you θk = {θ1k, θ2k, ⋯, θN−1k} is meaning N-1 points for direction vector but xθk = {x1k, x2k, ⋯, xNk} is meaning N direction vectors for each sphere so it is one Contradiction for me and another Contradiction for me is that in the video, Why did the number of direction vectors exceed N (i.e N+1)?

[@yikuiliu571]

very great lecture. 😀 where to find the matlab code ? Thanks

[@estherexplains7521]

Please check the description box - it contains a link to the webpage of Prof Mandic where you can download the code.

[@yikuiliu571]

@@estherexplains7521 Thanks a lot😀

[@generator1721]

It is interesting. I wish you could do the 2D EMD for image processing

[@estherexplains7521]

it's on my list!

[@tariqahassan5692]

nice lessons with very bad English pronunciation ..