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Different output between python and Matlab

Hi,
I used beads function on Matlab and it works perfectly.
After that I needed to translate the code in Python and this function doesn't work as Matlab ones.

I attach two screenshots of the same input, with two different output.

matlab comparison
figure_matlab

Python comparison
figure_python

Returns same data as the input

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):
figure_1

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

diff

A problem in your test method

Hello,
I think you make a mistake in your function return value arrange in Line 167. Your code is x, f, cost = beads(y=sig, d=d, fc=fc, r=r, lam0=lam0, lam1=lam1, lam2=lam2). But refer from the definition in Line 101, it should be x, cost, f = beads(y=sig, d=d, fc=fc, r=r, lam0=lam0, lam1=lam1, lam2=lam2).

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