def test_FIRStateLock():
t1 = np.arange(128, dtype=np.float64)
t2 = np.arange(128, 256, dtype=np.float64)
x1 = np.sin(np.pi/2*t1) * np.exp(-t1/200000.)
x2 = np.sin(np.pi/2*t2) * np.exp(-t2/200000.)
f0 = 0.25
phi0 = np.pi/2
fir = np.array([ -2.24576405e-21, 7.38375885e-07, 4.47985274e-06,
1.04499910e-05, 9.53493909e-06, -2.11536301e-05,
-1.21463857e-04, -3.45121941e-04, -7.45930068e-04,
-1.35036096e-03, -2.11774624e-03, -2.89530921e-03,
-3.38156003e-03, -3.11543482e-03, -1.50742755e-03,
2.07858743e-03, 8.19742309e-03, 1.71690331e-02,
2.89335254e-02, 4.29551745e-02, 5.82110859e-02,
7.32838205e-02, 8.65526725e-02, 9.64518343e-02,
1.01743149e-01, 1.01743149e-01, 9.64518343e-02,
8.65526725e-02, 7.32838205e-02, 5.82110859e-02,
4.29551745e-02, 2.89335254e-02, 1.71690331e-02,
8.19742309e-03, 2.07858743e-03, -1.50742755e-03,
-3.11543482e-03, -3.38156003e-03, -2.89530921e-03,
-2.11774624e-03, -1.35036096e-03, -7.45930068e-04,
-3.45121941e-04, -1.21463857e-04, -2.11536301e-05,
9.53493909e-06, 1.04499910e-05, 4.47985274e-06,
7.38375885e-07, -2.24576405e-21])
firstate = FIRStateLock(fir, 2, f0, phi0)
firstate.filt(x1)
firstate.filt(x2)
t_out = firstate.get_t()
A_out = abs(firstate.z_out)
A_expected = np.exp(-t_out / 200000.)
assert_array_almost_equal(A_out, A_expected, decimal=5)
def test_FIRStateLock():
t1 = np.arange(128, dtype=np.float64)
t2 = np.arange(128, 256, dtype=np.float64)
x1 = np.sin(np.pi / 2 * t1) * np.exp(-t1 / 200000.)
x2 = np.sin(np.pi / 2 * t2) * np.exp(-t2 / 200000.)
f0 = 0.25
phi0 = np.pi / 2
fir = np.array([
-2.24576405e-21, 7.38375885e-07, 4.47985274e-06, 1.04499910e-05,
9.53493909e-06, -2.11536301e-05, -1.21463857e-04, -3.45121941e-04,
-7.45930068e-04, -1.35036096e-03, -2.11774624e-03, -2.89530921e-03,
-3.38156003e-03, -3.11543482e-03, -1.50742755e-03, 2.07858743e-03,
8.19742309e-03, 1.71690331e-02, 2.89335254e-02, 4.29551745e-02,
5.82110859e-02, 7.32838205e-02, 8.65526725e-02, 9.64518343e-02,
1.01743149e-01, 1.01743149e-01, 9.64518343e-02, 8.65526725e-02,
7.32838205e-02, 5.82110859e-02, 4.29551745e-02, 2.89335254e-02,
1.71690331e-02, 8.19742309e-03, 2.07858743e-03, -1.50742755e-03,
-3.11543482e-03, -3.38156003e-03, -2.89530921e-03, -2.11774624e-03,
-1.35036096e-03, -7.45930068e-04, -3.45121941e-04, -1.21463857e-04,
-2.11536301e-05, 9.53493909e-06, 1.04499910e-05, 4.47985274e-06,
7.38375885e-07, -2.24576405e-21
])
firstate = FIRStateLock(fir, 2, f0, phi0)
firstate.filt(x1)
firstate.filt(x2)
t_out = firstate.get_t()
A_out = abs(firstate.z_out)
A_expected = np.exp(-t_out / 200000.)
assert_array_almost_equal(A_out, A_expected, decimal=5)
def test_FIRStateLock_indices():
x = np.array([0., 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])
h = np.array([0.25, 0.25, 0.25, 0.25])/2.
dec = 2
f0 = 0.
fs = 1.
firstate = FIRStateLock(h, 2, f0, 0., fs=1.)
firstate.filt(x)
exp_z = np.array([1.5, 3.5, 5.5, 7.5, 9.5, 11.5, 13.5])
assert_array_almost_equal(firstate.z_out, exp_z)
def test_FIRStateLock_indices():
x = np.array([0., 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])
h = np.array([0.25, 0.25, 0.25, 0.25]) / 2.
dec = 2
f0 = 0.
fs = 1.
firstate = FIRStateLock(h, 2, f0, 0., fs=1.)
firstate.filt(x)
exp_z = np.array([1.5, 3.5, 5.5, 7.5, 9.5, 11.5, 13.5])
assert_array_almost_equal(firstate.z_out, exp_z)