Identify the system with the attached data. Document all the steps taken.

- t = out.data(:,1); w NF generates a vector with the values of the times fat which the sample or simulation is performed generates a vector with the values of the system output y = out.data(:,2); 2 3- 4 5 - 6- 7 - n = length(t); p = 50; $selects the number of points for the digital filter|| yf = zeros (n,1); for i=p:n yf(i) = mean (yi (i-p+1:1)); end plot(t, (y yl yf]) 9- 10 11 - - t = out.data(:,1); w NF generates a vector with the values of the times fat which the sample or simulation is performed generates a vector with the values of the system output y = out.data(:,2); 2 3- 4 5 - 6- 7 - n = length(t); p = 50; $selects the number of points for the digital filter|| yf = zeros (n,1); for i=p:n yf(i) = mean (yi (i-p+1:1)); end plot(t, (y yl yf]) 9- 10 11