def get_results(duration):
excitation = generation.log_sweep(fstart, fstop, duration, fs)
excitation_zeropadded = generation.zero_padding(excitation, duration + pad,
fs)
system_response = system(excitation_zeropadded)
ir = calculation.deconv_process(excitation_zeropadded, system_response, fs)
return ir
import windows from scipy.signal import lfilter, fftconvolve import numpy as np # Parameters of the measuring system fs = 44100 fstart = 1 fstop = 22050 duration = 1 pad = 4 # Generate excitation signal excitation = generation.log_sweep(fstart, fstop, duration, fs) N = len(excitation) # Noise in measurement chain noise_level_db = -30 noise = measurement_chain.additive_noise(noise_level_db) # FIR-Filter-System dirac_system = measurement_chain.convolution([1.0]) # Combinate system elements system = measurement_chain.chained(dirac_system, noise)
