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September 14, 2022 21:03
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It's a simple python script that calculates the doppler shift from the velocity, and generates a sound wave for the observer...
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# -*- coding: utf-8 -*- | |
""" | |
Created on Fri Sep 9 13:43:13 2022 | |
@author: faruk.unal | |
""" | |
import scipy.constants as sc | |
import numpy as np | |
from scipy import signal | |
from scipy.fft import fft,fftshift,fftfreq | |
from matplotlib import mlab | |
import matplotlib.pyplot as plt | |
import matplotlib.pyplot as plt | |
from scipy.io.wavfile import write | |
def generate_signal(freq_signal,duration_signal,freq_sample): | |
timeline = np.linspace(0,duration_signal,freq_sample*duration_signal,endpoint=False) | |
signal = np.sin(2*np.pi*freq_signal*timeline) | |
return timeline,signal | |
class Car: | |
def __init__(self, speed, beacon_freq): | |
self.speed = speed | |
self.beacon_freq = beacon_freq | |
self.freq_sample = beacon_freq*16 | |
def beaconOn(self,duration): | |
self.duration = duration | |
print("Beacon freq= %f\n" % self.beacon_freq) | |
self.timeline, self.signal = generate_signal(self.beacon_freq,self.duration,self.freq_sample) | |
def howDoesHear(self,name): | |
normalized_tone = np.int16((self.signal / self.signal.max()) * 32767) | |
write(name+".wav", self.freq_sample, normalized_tone) | |
class Observer: | |
def __init__(self, speed, observedObject): | |
self.observedObject = observedObject | |
self.speed = speed | |
def calculateObservedSignal(self,source): | |
freq_observed = source.beacon_freq*(sc.speed_of_sound+self.speed)/(sc.speed_of_sound-source.speed) | |
return freq_observed | |
def howDoesHear(self,name): | |
self.freqObservedSignal = self.calculateObservedSignal(self.observedObject) | |
print("Observer freq= %f\n" % self.freqObservedSignal) | |
self.timeline, self.signal = generate_signal(self.freqObservedSignal,self.observedObject.duration,self.observedObject.freq_sample) | |
normalized_tone = np.int16((self.signal / self.signal.max()) * 32767) | |
write(name+".wav", self.observedObject.freq_sample, normalized_tone) | |
beacon_freq = 500 #Hz | |
speed = 35 #m/s | |
police_car = Car(speed, beacon_freq) | |
police_car.beaconOn(5) | |
police_car.howDoesHear("policeCar_sound") | |
observer = Observer(0,police_car) | |
observer.howDoesHear("observer_sound") | |
dopp = police_car.beacon_freq-observer.freqObservedSignal | |
N = police_car.freq_sample * police_car.duration | |
yf_police = fft(police_car.signal) | |
xf = fftfreq(N, 1 / police_car.freq_sample) | |
plt.plot(xf, np.abs(yf_police)) | |
yf_observer = fft(observer.signal) | |
plt.plot(xf, np.abs(yf_observer)) | |
plt.legend(["Emmited","Observed"]) | |
plt.xlabel("Frequency (Hz)") | |
maxLim=max(plt.xlim()) | |
plt.xlim([0,police_car.beacon_freq+abs(dopp)*2]) | |
plt.show() |
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