Write with Python and run on Colab:

Create a original siganl, which has two oscillatory components $($low frequency and high frequency$).$ Add Gaussian noise of some variance to the original signal and apply a filtering algorithm.

Next, write a function for evaluating the accuracy of the reconstruction approach $-$ this can be either in the frequency or time domain! Plot the accuracy of the method as a function of the amount of variance in the noise.