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import numpy as np | ||
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def main(): | ||
c = 343 | ||
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tweeter = np.array([0, 0, 1.2]) | ||
midrange = np.array([0, 0, 1.1]) | ||
woofer = np.array([0, 0, 0.9]) | ||
subwoofer = np.array([0, 0, 0.5]) | ||
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listener = np.array([1.0, 2.0, 1.2]) | ||
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t_tweeter = np.linalg.norm(listener - tweeter)/c | ||
t_midrange = np.linalg.norm(listener - midrange)/c | ||
t_woofer = np.linalg.norm(listener - woofer)/c | ||
t_subwoofer = np.linalg.norm(listener - subwoofer)/c | ||
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rd_midrange = t_midrange-t_tweeter | ||
rd_woofer = t_woofer-t_tweeter | ||
rd_subwoofer = t_subwoofer-t_tweeter | ||
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print(f"t_tweeter={t_tweeter*1000:.2f} ms") | ||
print(f"t_midrange={t_midrange*1000:.2f} ms") | ||
print(f"t_woofer={t_woofer*1000:.2f} ms") | ||
print(f"t_subwoofer={t_subwoofer*1000:.2f} ms") | ||
print(f"rd_midrange={rd_midrange*1000:.3f} ms") | ||
print(f"rd_woofer={rd_woofer*1000:.3f} ms") | ||
print(f"rd_subwoofer={rd_subwoofer*1000:.3f} ms") | ||
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if __name__ == "__main__": | ||
main() |
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import matplotlib.pyplot as plt | ||
import numpy as np | ||
from scipy.signal import butter, filtfilt, firwin, lfilter | ||
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def main(): | ||
fc = 400 | ||
fs = 48000 | ||
dt = 1/fs | ||
n = fs | ||
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sig = np.zeros(n, dtype=np.float64) | ||
sig[0] = 1.0 | ||
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num_taps = 101 | ||
lowpass_taps = firwin(num_taps, fc, window='hamming', fs=fs) | ||
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# Design a highpass FIR filter by spectral inversion | ||
highpass_taps = -lowpass_taps | ||
highpass_taps[num_taps // 2] += 1 | ||
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lowpass_sig = lfilter(lowpass_taps, 1.0, sig) | ||
highpass_sig = lfilter(highpass_taps, 1.0, sig) | ||
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freqs = np.fft.rfftfreq(n, d=dt) | ||
lowpass_spectrum = np.fft.rfft(lowpass_sig) | ||
highpass_spectrum = np.fft.rfft(highpass_sig) | ||
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lowpass_amplitude = np.abs(lowpass_spectrum) | ||
highpass_amplitude = np.abs(highpass_spectrum) | ||
mix_amplitude = lowpass_amplitude+highpass_amplitude | ||
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# plt.semilogx(freqs, 20*np.log10(lowpass_amplitude), label="LP") | ||
# plt.semilogx(freqs, 20*np.log10(highpass_amplitude), label="HP") | ||
plt.semilogx(freqs, 20*np.log10(mix_amplitude), label="LP+HP") | ||
plt.grid() | ||
plt.legend() | ||
plt.show() | ||
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if __name__ == "__main__": | ||
main() |
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def sealed_enclosure_volume(Vas, Qtc, Qts): | ||
""" | ||
Vas: Equivalent compliance volume | ||
Qtc: Desired system Q, typically around 0.7 for a good balance between transient response and efficiency | ||
Qts: Total Q factor of the driver | ||
""" | ||
return Vas/((Qtc/Qts)**2-1) | ||
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def ported_enclosure_volume(Vas, Fs, Fb): | ||
""" | ||
Vas: Equivalent compliance volume | ||
Fs: Driver resonant frequency | ||
Fb: Tuning frequency | ||
""" | ||
return (Vas*(0.7*Fs))/(Fb-0.7*Fs) | ||
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def port_length(Vb, Fb, D): | ||
""" | ||
Port length for a ported speaker enclosure | ||
Vb: Enclosure volume | ||
Fb: Tuning frequency | ||
D: Port diameter | ||
""" | ||
return (23562.5*(D**2))/((Fb**2) * Vb) | ||
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def main(): | ||
Vas = 50 | ||
Qtc = 0.707 | ||
Qts = 0.4 | ||
Fs = 30 | ||
Fb = 35 | ||
D = 10 | ||
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Vas = 197 | ||
Qtc = 0.707 | ||
Qts = 0.32 | ||
Fs = 17 | ||
Fb = 25 | ||
D = 12 | ||
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Vas = 103.61 | ||
Qtc = 0.707 | ||
Qts = 0.35 | ||
Fs = 28 | ||
Fb = 32 | ||
D = 10 | ||
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Vs = sealed_enclosure_volume(Vas, Qtc, Qts) | ||
Vp = ported_enclosure_volume(Vas, Fs, Fb) | ||
Lp = port_length(Vp, Fb, D) | ||
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print(f"sealed: {Vs:.2f} l") | ||
print(f"ported: {Vp:.2f} l") | ||
print(f"port: {Lp:.2f} cm") | ||
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if __name__ == "__main__": | ||
main() |