def test_quadratic_freq_02(self):
method = 'quadratic'
f0 = 20.0
f1 = 10.0
t1 = 10.0
t = np.linspace(0, t1, 2000)
phase = waveforms._chirp_phase(t, f0, t1, f1, method)
tf, f = compute_frequency(t, phase)
abserr = np.max(np.abs(f - chirp_quadratic(tf, f0, f1, t1)))
assert_(abserr < 1e-6)
def test_linear_freq_01(self):
method = 'linear'
f0 = 1.0
f1 = 2.0
t1 = 1.0
t = np.linspace(0, t1, 100)
phase = waveforms._chirp_phase(t, f0, t1, f1, method)
tf, f = compute_frequency(t, phase)
abserr = np.max(np.abs(f - chirp_linear(tf, f0, f1, t1)))
assert_(abserr < 1e-6)
def test_logarithmic_freq_03(self):
method = 'logarithmic'
f0 = 100.0
f1 = 100.0
t1 = 10.0
t = np.linspace(0, t1, 10000)
phase = waveforms._chirp_phase(t, f0, t1, f1, method)
tf, f = compute_frequency(t, phase)
abserr = np.max(np.abs(f - chirp_geometric(tf, f0, f1, t1)))
assert_(abserr < 1e-6)
def test_hyperbolic_freq_01(self):
method = 'hyperbolic'
t1 = 1.0
t = np.linspace(0, t1, 10000)
# f0 f1
cases = [[10.0, 1.0],
[1.0, 10.0],
[-10.0, -1.0],
[-1.0, -10.0]]
for f0, f1 in cases:
phase = waveforms._chirp_phase(t, f0, t1, f1, method)
tf, f = compute_frequency(t, phase)
expected = chirp_hyperbolic(tf, f0, f1, t1)
assert_allclose(f, expected)