Python 3!

Thank you

Question 7: Generate an array of the same length as the 1D signal, whose elements are drawn from a random Gaussian distribution with mean zero and standard deviation =3 . Look up the normal() submodule under numpy.random. Example syntax is mu = 0 # mean sigma = 3 # standard deviation noise = np.random.normal(mu, sigma, n) Generate a new signal by adding the piece-wise constant signal from above and your new random Gaussian array (noise). Plot this new signal both as a line and stem plot (use subplot() again) over the sampled points. Label all axes and give the plots titles. What do you observe has happened to the signal?