numpy.correlate()函数– Python

numpy.correlate()函数定义两个一维序列的互相关。此函数计算信号处理文本中通常定义的相关性：c_{av}[k] = sum_n a[n+k] * conj(v[n])

Syntax : numpy.correlate(a, v, mode = ‘valid’)

Parameters :
a, v : [array_like] Input sequences.
mode : [{‘valid’, ‘same’, ‘full’}, optional] Refer to the convolve docstring. Default is ‘valid’.

Return : [ndarray] Discrete cross-correlation of a and v.

代码#1：

# Python program explaining
# numpy.correlate() function
       
# importing numpy as geek 
import numpy as geek 
   
a = [2, 5, 7]
v = [0, 1, 0.5]
   
gfg = geek.correlate(a, v)
   
print (gfg)

输出 ：

[8.5]

代码#2：

# Python program explaining
# numpy.correlate() function
       
# importing numpy as geek 
import numpy as geek 
   
a = [2, 5, 7]
v = [0, 1, 0.5]
   
gfg = geek.correlate(a, v, "same")
   
print (gfg)

输出 ：

[4.5 8.5 7. ]