NumPy: Compute cross-correlation of two given arrays

NumPy Statistics: Exercise-9 with Solution

Write a NumPy program to compute cross-correlation of two given arrays.

Sample Solution:

Python Code:

# Importing the NumPy library
import numpy as np

# Creating an array 'x' containing elements [0, 1, 3]
x = np.array([0, 1, 3])

# Creating an array 'y' containing elements [2, 4, 5]
y = np.array([2, 4, 5])

# Displaying the original array 'x'
print("\nOriginal array1:")
print(x)

# Displaying the original array 'y'
print("\nOriginal array1:")
print(y)

# Calculating the cross-correlation of arrays 'x' and 'y' using np.correlate()
print("\nCross-correlation of the said arrays:\n", np.correlate(x, y)) 

Sample Output:

Original array1:
[0 1 3]

Original array1:
[2 4 5]

Cross-correlation of the said arrays:
 [19]

Explanation:

In the above exercise –

x = np.array([0, 1, 3]): Create a NumPy array x with the values [0, 1, 3].

y = np.array([2, 4, 5]): Create a NumPy array y with the values [2, 4, 5].

print(np.correlate(x, y)): Compute and print the cross-correlation of the sequences x and y using np.correlate.

Python-Numpy Code Editor:

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