我现在有两个周期信号：一个输出信号显示为蓝色，一个噪声信号显示为绿色。我希望从输出信号中去除噪声信号，以便（理想情况下）保持接近恒定的信号。如何在python中实现这一点？

下面给出了我用于从.csv文件导入两个信号并绘制它们的代码。

import numpy as np
import pandas as pd

# from scipy.optimize import curve_fit

from datetime import datetime
from datetime import timedelta
import matplotlib
import matplotlib.pyplot as plt

datathick = "20210726_rig_thick.csv" 
qcmfilter = "20210726_cool_QCM_act.csv"

with open(datathick) as f:
        lines = f.readlines()
        dates = [str(line.split(',')[0]) for line in lines]
        thick = [float(line.split(',')[1]) for line in lines]
        z = [float(line.split(',')[2]) for line in lines]

        date_thick = [datetime.strptime(x,'%Y-%m-%dT%H:%M:%S.%f').time() for x in dates]

with open(qcmfilter) as f:
        lines = f.readlines()
        dates_qcm = [str(line.split(',')[0]) for line in lines]
        temp_qcm = [float(line.split(',')[1])+420 for line in lines]
        z = [float(line.split(',')[2]) for line in lines]

        date_temp_qcm = [datetime.strptime(x,'%Y-%m-%dT%H:%M:%S.%f').time() for x in dates_qcm]

time_list_thick = []
for i in np.arange(0, len(date_thick)):
    q = date_thick[i]
    t = timedelta(hours= q.hour, minutes=q.minute,seconds=q.second, microseconds = q.microsecond).total_seconds()
    time_list_thick.append(float(t))

time_list_temp_qcm = []
for i in np.arange(0, len(date_temp_qcm)):
    q3 = date_temp_qcm[i]
    t3 = timedelta(hours= q3.hour, minutes=q3.minute,seconds=q3.second, microseconds = q3.microsecond).total_seconds()
    time_list_temp_qcm.append(float(t3))

# ------------------------------------------------

fig=plt.figure(figsize=(7.,7.))

ax=fig.add_subplot(1,1,1)
ax.set_zorder(1)
ax.patch.set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_visible(False)
ax.set_xlabel('Time (s)')
ax.set_ylabel('Amplitude (a.u)')
ax.minorticks_on() # enable minor ticks
ax.xaxis.set_ticks_position('bottom')
ax.spines['left'].set_color('black')
ax.yaxis.label.set_color('black')
ax.set_ylim(440,460)
ax.set_xlim(0, 10000)
ax.tick_params(direction='out', axis='y', which='both', pad=4, colors='black')
ax.grid(b=True, which='major', color='#eeeeee', linestyle='-', zorder=1, linewidth=0.4) # turn on major grid
ax.grid(b=True, which='minor', color='#eeeeee', linestyle='-', zorder=1, linewidth=0.4) # turn on minor grid

ax.plot(time_list_thick, thick,color='blue')
ax.plot(time_list_temp_qcm, temp_qcm, color = 'green')

plt.savefig('QCM.pdf', dpi=300, bbox_inches='tight', format='pdf')
plt.savefig('QCM.png', dpi=300, bbox_inches='tight', format='png')