5 import matplotlib.pylab as plt
10 cut = math.pow(10, -3 / 20.0)
13 t = np.linspace(0, radians, points)
14 inL = np.zeros((points,))
16 inR = np.zeros((points,))
17 inS = np.zeros((points,))
20 Lt = inL + inC * cut + np.imag(scipy.signal.hilbert(inS * cut))
21 Rt = inR + inC * cut - np.imag(scipy.signal.hilbert(inS * cut))
28 plt.plot(t, outL, label='L')
29 plt.plot(t, outR, label='R')
30 plt.plot(t, outS, label='S')