neurodsp.plts.plot_filter_properties¶
- neurodsp.plts.plot_filter_properties(f_db, db, fs, impulse_response, figsize=None)[source]¶
Plot filter properties, including frequency response and filter kernel.
- Parameters
- f_db1d array
Frequency vector corresponding to attenuation decibels, in Hz.
- db1d array
Degree of attenuation for each frequency specified in f_db, in dB.
- fsfloat
Sampling rate, in Hz.
- impulse_response1d array
The impulse response of a filter. For an FIR filter, these are the filter coefficients.
- figsizetuple, optional
Size to create the figure.
Examples
Plot the properties of an FIR bandpass filter:
>>> from neurodsp.filt import design_fir_filter >>> from neurodsp.filt.utils import compute_frequency_response >>> fs = 500 >>> filter_coefs = design_fir_filter(fs, pass_type='bandpass', f_range=(1, 40)) >>> f_db, db = compute_frequency_response(filter_coefs, 1, fs) >>> plot_filter_properties(f_db, db, fs, filter_coefs)
