def rmsGain(H, f1, f2, N=100):

    w = np.linspace(2*np.pi*f1, 2*np.pi*f2, N)
    g = norm(evalTF(H, np.exp(1j*w))) / np.sqrt(N)

    return g
Compute the root mean-square gain of a discrete-time TF.
dataset/ETHPy150Open ggventurini/python-deltasigma/deltasigma/_rmsGain.py/rmsGain