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Savitzky-Golay filtering (not smoothing) in real time

I found the answer from playing around. They are easily computed with scipy.savgol_coeffs e.g. ...
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Filtering out correlated data from dropouts

If the dropouts are truly time coincident can't you just apply a linear discriminator to the bottom plot there? Figure out where the threshold is, is it a vertical line at 70.355? Or a somewhat ...
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Butterworth filter cutoff attenuation is not exactly 0.707(-3dB)

Filter needs time to settle down. This settling process altered the beginning of time domain data and created the small difference. I took the second half of time domain filtered data and got a ratio ...
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Butterworth filter cutoff attenuation is not exactly 0.707(-3dB)

What you see there are margin issues. By not applying a window function to your signal before the FFT, you effectively convolute your spectrum with an $\text{si}$ function, which leads to artifacts ...
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