def freq_response(self, freq):
"""
Frequency response for this filter.
Parameters
----------
freq :
Frequency, in rad/sample. Can be an iterable with frequencies.
Returns
-------
Complex number with the frequency response of the filter.
See Also
--------
dB10 :
Logarithmic power magnitude from data with squared magnitude.
dB20 :
Logarithmic power magnitude from raw complex data or data with linear
amplitude.
phase :
Phase from complex data.
LinearFilter.plot :
Method to plot the LTI filter frequency and phase response into a
Matplotlib figure.
"""
z_ = complex_exp(-1j * freq)
num = self.numpoly(z_)
den = self.denpoly(z_)
if not isinstance(den, Stream):
if den == 0:
return nan
return num / den
def freq_response(self, freq):
"""
Frequency response for this filter.
Parameters
----------
freq :
Frequency, in rad/sample. Can be an iterable with frequencies.
Returns
-------
Complex number with the frequency response of the filter.
See Also
--------
dB10 :
Logarithmic power magnitude from data with squared magnitude.
dB20 :
Logarithmic power magnitude from raw complex data or data with linear
amplitude.
phase :
Phase from complex data.
"""
z_ = complex_exp(-1j * freq)
num = self.numpoly(z_)
den = self.denpoly(z_)
if not isinstance(den, Stream):
if den == 0:
return nan
return num / den
def freq_response(self, freq):
"""
Frequency response for this filter.
Parameters
----------
freq :
Frequency, in rad/sample. Can be an iterable with frequencies.
Returns
-------
Complex number with the frequency response of the filter. You can use
``20 * log10(abs(result))`` to get its power magnitude in dB, and
Numpy ``angle(result)`` or built-in ``phase(result)`` to get its phase.
"""
z_ = complex_exp(-1j * freq)
num = self.numpoly(z_)
den = self.denpoly(z_)
if not isinstance(den, Stream):
if den == 0:
return nan
return num / den