python eem

Python的EEMD是基于PyEMD库实现的，用于信号处理和分析。你可以通过pip install EMD-signal命令来正确安装PyEMD库。在使用EEMD前，你需要导入所需的库，包括librosa、numpy和pyemd。然后，你可以使用EEMD类的eemd方法来对信号进行分解和重构。具体的代码示例如下：

import librosa
import numpy as np
from pyemd import EEMD
import pylab as plt

def signal_eemd(S, RATE):
T = 0.05
t = np.linspace(0, T, num=int(RATE * T))

eemd = EEMD()
eemd.trials = 500
eemd.noise_seed(12345)

eIMFs = eemd.eemd(S, t, -1)
nIMFs = eIMFs.shape

plt.figure(figsize=(12, 9))
plt.subplot(nIMFs + 1, 1, 1)
plt.plot(t, S, 'r')

for n in range(nIMFs):
plt.subplot(nIMFs + 1, 1, n + 2)
plt.plot(t, eIMFs[n], 'g')
plt.ylabel("eIMF %i" % (n + 1))
plt.locator_params(axis='y', nbins=5)
plt.xlabel("Time [s]")

plt.tight_layout()
plt.savefig('eemd_example', dpi=120)
plt.show()

plt.plot(t, eIMFs + eIMFs + eIMFs, 'g')
plt.show()

if __name__ == "__main__":
RATE = 80000
X, sr = librosa.load('xxx.wav', sr=RATE)
signal_eemd(X, RATE)

以上是一个使用EEMD对信号进行分解和重构的示例代码。你可以根据实际的需求和数据进行相应的调整和修改。<span class="em">1</span><span class="em">2</span>
#### 引用[.reference_title]
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