def test_get_cefficients(self):
B = (0.1, 0.2, 0.3)
A = (0.4, 0.5, 0.6)
f = linearfilter.Filter(B, A, fs=48000)
print(f)
self.verify_coefficients(f, B, A)
def test_set_cefficients(self):
B = (0.7, 0.8, 0.9)
A = (1.1, 1.2, 1.3)
f = linearfilter.Filter(fs=48000)
f.set_coefficients(B, A)
print(f)
self.verify_coefficients(f, B, A)
def test_normalise(self):
B = (0.1, 0.2, 0.3)
A = (0.4, 0.5, 0.6)
f = linearfilter.Filter(B, A, fs=48000)
print(f)
f.normalise()
unused_BB, AA = f.get_coefficients()
self.assertAlmostEqual(AA[0], 1.0, places=7)
def test_get_feed_back(self):
B = (0.1, 0.2, 0.3)
A = (0.4, 0.5, 0.6)
f = linearfilter.Filter(B, A, fs=48000)
print(f)
AA = f.get_feed_back()
self.verify_coefficients(f, B, AA)
def test_get_feed_forward(self):
B = (0.1, 0.2, 0.3)
A = (0.4, 0.5, 0.6)
f = linearfilter.Filter(B, A, fs=48000)
print(f)
BB = f.get_feed_forward()
self.verify_coefficients(f, BB, A)
def test_str_method(self):
f = linearfilter.Filter()
self.assertIsInstance(f.__str__(), basestring)
