noise reduction

[Osiris81]

Hello,

I read signals from a measurement file which have 1 to 4 breaks (where the signal falls the most, see example) and have to detect these positions (temperatures). The algorithm is the following: make the first derivative and take the absolute values and search the maximums.



The signals can be quite noisy so I have to filter them first. I tried all the curve fittings but with no success, it's even harder to find the peaks afterwards. What would be the best way to fit these signals (as already said, they can have up to 4 breaks, the example has only 2)

I attached a VI with the data in it.

Regards,
Rico

[smercurio_fc]

I'm not sure I understand what you're trying to fit, and why you are trying to fit them to something. Are you trying to perform a curve fit on the original data, or the derivative graph? Are you simply looking to find the 2 peaks in your derivative graph? The Peak Detector VI can be used to find peaks. You would need to wire in a reasonable threshold.

[Nick_CH]

Hi,

If you want to use the peak detector, you can read this kb: How Does the Peak Detector VI Work?

Best regards
Nick_CH