Returns same data as the input

[ctapobep]

I tried to use the test() method and instead of this:

sig = np.cos(2*np.pi*7*t) + np.sin(3*np.pi*7*t+300*t)

I entered my chromatogram. But in the end the original signal and the result are almost the same. Do I need to tune the params? I don't understand the math behind it yet, so I was hoping that the algorithm would "just work".

Here are these chromatograms in 1 plot (you see only 1 line because they are very similar):

And here is plt.plot(domain, sig - x.squeeze(), 'g'):

[ctapobep]

Noticed a cut-off frequency in the code, which depended on the signal length. Changing it to 0.9 did have an effect:

Though still not satisfactory at the beginning and at the end of the chromatogram. Is this fixable with tuning of other params or these artifacts can't be fixed with BEADS?

[hsiaocy]

Hi ctapobep,
Thanks for adopting this algorithm, but I'm regretfully to say that I didn't spend much time on this algorithm. Perhaps you could try different parameters because I tried it originally for comparing against Wavelet Transform and Hilbert-Huang Transform in the electrocardiogram.
That's why I'm so sorry that I cannot explain detail for you.

[ctapobep]

Ok, got it, thanks. Did you decide in the end to use BEADS instead of other alternatives for baseline correction?

[hsiaocy]

Yes, for my research of electrocardiogram pre-processing, I eventually used HHT because it speeds up the whole working flow.
I have no base about chromatogram but just giving you a suggestion.