包络谱信噪代码python

包络谱是一种用于分析信号的频谱特性的方法，它可以提取信号的幅度变化随时间的特征。信噪比是衡量信号中有用信息与噪声之间比例的指标。下面是一个用Python实现包络谱信噪比的示例代码：

import numpy as np
from scipy.signal import hilbert

def envelope_spectrum(signal, fs):
    analytic_signal = hilbert(signal)
    amplitude_envelope = np.abs(analytic_signal)
    frequency = np.fft.fftfreq(len(signal), 1/fs)
    spectrum = np.fft.fft(amplitude_envelope)
    return frequency[:len(frequency)//2], np.abs(spectrum[:len(spectrum)//2])

def signal_to_noise_ratio(signal, noise):
    signal_power = np.sum(np.square(signal))
    noise_power = np.sum(np.square(noise))
    snr = 10 * np.log10(signal_power / noise_power)
    return snr

# 示例使用
# 生成一个包含信号和噪声的示例数据
fs = 1000  # 采样率
t = np.arange(0, 1, 1/fs)  # 时间序列
signal = np.sin(2*np.pi*50*t)  # 信号
noise = np.random.normal(0, 0.5, len(t))  # 噪声
mixed_signal = signal + noise  # 混合信号

# 计算包络谱
frequency, spectrum = envelope_spectrum(mixed_signal, fs)

# 计算信噪比
snr = signal_to_noise_ratio(signal, noise)

print("包络谱频率：", frequency)
print("包络谱幅度：", spectrum)
print("信噪比：", snr)

希望以上代码对你有所帮助！