import pyfar as pf
import matplotlib.pyplot as plt
noise = pf.dsp.normalize(pf.signals.noise(10000), domain="freq")
weighting_filter = pf.dsp.filter.frequency_weighting_filter(
    None, "A", sampling_rate=noise.sampling_rate)
weighted_noise = weighting_filter.process(noise)
pf.plot.freq(noise, label="unweighted noise")
pf.plot.freq(
    weighting_filter.impulse_response(10000),
    label="weighting filter")
pf.plot.freq(weighted_noise, label="A weighted noise")
plt.ylim(-45, 5)
plt.legend()