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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