Python+matplotlib实现计算两个信号的交叉谱密度实例

时间:2022-09-07 17:59:46

 计算两个信号的交叉谱密度

结果展示:

Python+matplotlib实现计算两个信号的交叉谱密度实例

完整代码:

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import numpy as np
import matplotlib.pyplot as plt
 
 
fig, (ax1, ax2) = plt.subplots(2, 1)
# make a little extra space between the subplots
fig.subplots_adjust(hspace=0.5)
 
dt = 0.01
t = np.arange(0, 30, dt)
 
# Fixing random state for reproducibility
np.random.seed(19680801)
 
 
nse1 = np.random.randn(len(t))         # white noise 1
nse2 = np.random.randn(len(t))         # white noise 2
r = np.exp(-t / 0.05)
 
cnse1 = np.convolve(nse1, r, mode='same') * dt  # colored noise 1
cnse2 = np.convolve(nse2, r, mode='same') * dt  # colored noise 2
 
# two signals with a coherent part and a random part
s1 = 0.01 * np.sin(2 * np.pi * 10 * t) + cnse1
s2 = 0.01 * np.sin(2 * np.pi * 10 * t) + cnse2
 
ax1.plot(t, s1, t, s2)
ax1.set_xlim(0, 5)
ax1.set_xlabel('time')
ax1.set_ylabel('s1 and s2')
ax1.grid(True)
 
cxy, f = ax2.csd(s1, s2, 256, 1. / dt)
ax2.set_ylabel('CSD (db)')
plt.show()

总结

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原文链接:https://matplotlib.org/index.html