noisegen noise generation b = noisegen(pas, Tmax, sig) pas real scalar, the time increment Tmax real scalar, the final time of the interval of noise generation sig real scalar, the standard deviation of the noise noisegen() generates a Scilab function b = Noise(t) where Noise(t) is a piecewise constant function (constant on [k*pas, (k+1)*pas]). The value on each constant interval are random values from i.i.d Gaussian variables of standard deviation sig. The function is constant for t <= 0 and t >= Tmax. Note: Random number generator functions such as rand and grand are another alternative to generate noises from a wide variety of probability distribution (see example 2 below). Example #1: noisegen() noisegen(0.5, 30, 1.0); x = -5:0.01:35; y = feval(x, Noise); plot(x, y); Example #2: rand() t = 0:.5:30; sig = 1; noise = sig*rand(t, "normal"); plot2d2(t, noise) rand grand