def get_results(fade_in):
excitation_windowed = excitation * windows.window_kaiser(
N, fade_in, fade_out, fs, beta)
excitation_windowed_zeropadded = generation.zero_padding(
excitation_windowed, pad, fs)
system_response = system(excitation_windowed_zeropadded)
ir = calculation.deconv_process(excitation_windowed_zeropadded,
system_response, fs)
return ir
import numpy as np
# Parameters of the measuring system
fs = 44100
fstart = 1
fstop = 22050
duration = 1
# Generate excitation signal
excitation = generation.log_sweep(fstart, fstop, duration, fs)
N = len(excitation)
excitation_windowed_beta2 = excitation * windows.window_kaiser(
N, 500, 500, fs, beta=2)
excitation_windowed_beta7 = excitation * windows.window_kaiser(
N, 500, 500, fs, beta=7)
# Windowed Sweep-Signal
plotting.plot_time(excitation, fs)
plt.savefig('log_excitation.png')
plt.close()
plotting.plot_time(excitation_windowed_beta7, fs)
plt.savefig('log_excitation_windowed')
plt.close()
# AKF