I'm new here. I have measurement data (deformation of a building) that contains a noise signal that results from the temperature. The temperature is also available. My task is to use a mathematical method to eliminate the interfering signal How could I best eliminate them?
Find the frequency of the noise and eliminate it using a filter. Need a lot more info and example signals to tackle your problem
Thank you for your Answer
Sensors were placed on a bridge to measure the deformation. These sensors provide the deformation over a certain time. The problem is that in the measured deformation part from the temperature is located, which is subordinate and must be filtered out. The temperature was also measured and exist.
I have two Photos attached
This is just images without data... Could you run FFT on both channels to see which frequency needs to be filtered out?
I don't think so.
Wouldn't a low-pass digital filter catch the slow deformation induced by temperature changes? Say anything less than 5 Hz?
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