Filter (FilterIIR, FilterFIR, FilterSOS)¶
Classes:
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Filter object for FIR filters. |
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Filter object for IIR filters. |
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Filter object for IIR filters as second order sections (SOS). |
Functions:
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Extend a set of SOS filter coefficients to match a required filter order by adding sections with coefficients resulting in an ideal frequency response. |
- class pyfar.classes.filter.FilterFIR(coefficients, sampling_rate)[source]¶
Bases:
pyfar.classes.filter.FilterFilter object for FIR filters.
Methods:
__init__(coefficients, sampling_rate)Initialize an finite impulse response (FIR) Filter object.
- __init__(coefficients, sampling_rate)[source]¶
Initialize an finite impulse response (FIR) Filter object.
- Parameters
coefficients (array, double) – The filter coefficients as an array with dimensions (number of channels, number of filter coefficients)
sampling_rate (number) – The sampling rate of the filter in Hz.
state (array, optional) – The state of the filter from a priory knowledge.
- Returns
The FIR filter object.
- Return type
- class pyfar.classes.filter.FilterIIR(coefficients, sampling_rate)[source]¶
Bases:
pyfar.classes.filter.FilterFilter object for IIR filters. For IIR filters with high orders, second order section IIR filters using FilterSOS should be considered.
Methods:
__init__(coefficients, sampling_rate)IIR filter Initialize an infinite impulse response (IIR) Filter object.
- __init__(coefficients, sampling_rate)[source]¶
IIR filter Initialize an infinite impulse response (IIR) Filter object.
- Parameters
coefficients (array, double) – The filter coefficients as an array, with shape (number of channels, number of coefficients in the nominator, number of coefficients in the denominator)
sampling_rate (number) – The sampling rate of the filter in Hz.
state (array, optional) – The state of the filter from a priory knowledge.
- Returns
The IIR filter object.
- Return type
- class pyfar.classes.filter.FilterSOS(coefficients, sampling_rate)[source]¶
Bases:
pyfar.classes.filter.FilterFilter object for IIR filters as second order sections (SOS).
Methods:
__init__(coefficients, sampling_rate)Initialize a second order sections (SOS) Filter object.
- __init__(coefficients, sampling_rate)[source]¶
Initialize a second order sections (SOS) Filter object.
- Parameters
coefficients (array, double) – The filter coefficients as an array with dimensions (n_filter_chan, n_sections, 6)
sampling_rate (number) – The sampling rate of the filter in Hz.
state (array, optional) – The state of the filter from a priory knowledge.
- Returns
The SOS filter object.
- Return type
- pyfar.classes.filter.extend_sos_coefficients(sos, order)[source]¶
Extend a set of SOS filter coefficients to match a required filter order by adding sections with coefficients resulting in an ideal frequency response.
- Parameters
sos (array-like) – The second order section filter coefficients.
order (int) – The order to which the coefficients are to be extended.
- Returns
sos_ext – The extended second order section coefficients.
- Return type
array-like