本文主要參考:https://blog.csdn.net/okobul1/article/details/46415287
讀後記錄如下:
1. Sine sweep波的函數
sweep(t) = sin(2*PI*f0*(k^t-1)/log(k))
2. python的代碼
from math import *
import array
import matplotlib.pyplot as plt
import wave
def sinesweep(f0, f1, sweeptime, samplingrate, peak):
k = exp(log(float(f1)/f0)/sweeptime)
data_len = sweeptime * samplingrate
data = array.array('i',[0]*data_len)
dt = 1.0/samplingrate
t = 0.0
p = 2*pi*f0/log(k)
for i in range(data_len):
data[data_len-i-1] = int(peak*sin( p*(pow(k,t)-1) ))
t += dt
return data
def sindata(f0, time, samplingrate, peak):
data = [int(peak*sin(2*pi*f0*x/samplingrate)) for x in xrange(int(time*samplingrate))]
return array.array('h', data)
if 1:
SAMPLING_RATE = 44100
SWEEP_TIME = 2
F0 = 20
F1 = 20000
PEAK = 0x2000
data = sinesweep(F0, F1, SWEEP_TIME, SAMPLING_RATE, PEAK)
plt.title("sweep data")
plt.plot(data)
plt.show()
if 1 :
f = wave.open("sweep.wav","wb")
f.setnchannels(1) # mono wave
f.setsampwidth(2) # 16bit
f.setframerate(SAMPLING_RATE) #sampling rate
f.writeframes(data)
f.close()