I have 2 arrays of 800000 input and output data samples. The system is a kind of oven that works from 0 to 10 volts. The sample time is 0.001s.
I have to identify the model of this system, but first of all, given that the data are clearly dirty, I would like to filter the noise.
How can I do it with the System Identification Toolbox of MATLAB?
Moreover, how can I estimate the cutoff frequency to remove the noise?
EDIT:
As suggested, here below are the sampled data plot. As you can see the voltage inputs looks good, but the temperature outputs are affect of noise. I would like to remove it, in order have the output more "smooth".