def filt(self, x, coef):
"""Filter one sample using ``mlsadf``
Parameters
----------
x : float
A input sample
coef: array
MLSA filter coefficients
Returns
-------
y : float
A filtered sample
See Also
--------
pysptk.sptk.mlsadf
pysptk.sptk.mc2b
"""
return pysptk.mlsadf(x, coef, self.alpha, self.pd, self.delay)
def filt(self, x, coef):
"""Filter one sample using ``mlsadf``
Parameters
----------
x : float
A input sample
coef: array
MLSA filter coefficients
Returns
-------
y : float
A filtered sample
See Also
--------
pysptk.sptk.mlsadf
pysptk.sptk.mc2b
"""
return pysptk.mlsadf(x, coef, self.alpha, self.pd, self.delay)
def test_mlsadf_invalid_pade():
with pytest.raises(ValueError):
pysptk.mlsadf(0.0, np.ones(10), 0.41, 3, np.ones(1))
def test_mlsadf_invalid_delay_length():
with pytest.raises(ValueError):
pysptk.mlsadf(0.0, np.ones(10), 0.41, 5, np.ones(1))
def test_mlsadf_invalid_delay_length():
pysptk.mlsadf(0.0, np.ones(10), 0.41, 5, np.ones(1))
def test_mlsadf_invalid_pade():
pysptk.mlsadf(0.0, np.ones(10), 0.41, 3, np.ones(1))
