我已经写了一些Python代码，模仿MATLABs的互相关函数xcorr： def xcorr(x, y, scale='none'):
# Pad shorter array if signals are different lengths
if x.size > y.size:
pad_amount = x.size - y.size
y = np.
我正在使用dsp库和dsp.biquad函数来实现butterworth IIR滤波器。当我创建过滤我设置的初始值，如下图所示： function [lowpassIIR_minutes] = createLowpassIIR_minutes(initialValue)
% The following code was used to design the filter coefficient
我尝试使用whelch方法，我发现零频率异常 import numpy as np
import scipy.signal as signal
import matplotlib.pyplot as plt
n = 100000
s = np.ones(n)
f, psd = signal.welch(s, return_onesided=False)
plt.plot(f, psd