Common window functions in Signal Processing - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a Hamming window of length 10 using NumPy.

Signal Processing

import numpy as np
window = np.[1](10)

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Abartlett

Bblackman

Ckaiser

Dhamming

Attempts:

3 left

💡 Hint

Common Mistakes

Using a different window function like Blackman or Bartlett instead of Hamming.

The np.hamming function creates a Hamming window of specified length.

2fill in blank

medium

Complete the code to generate a Kaiser window with beta parameter 14 and length 15.

Signal Processing

import numpy as np
window = np.[1](15, beta=14)

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Akaiser

Bhamming

Cblackman

Dbartlett

Attempts:

3 left

💡 Hint

Common Mistakes

Using a window function that does not accept a beta parameter.

The np.kaiser function creates a Kaiser window with a specified beta parameter.

3fill in blank

hard

Fix the error in the code to generate a Blackman window of length 20.

Signal Processing

import numpy as np
window = np.[1](20)

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Ablackman

Bblackmann

Cblackman_window

Dblack

Attempts:

3 left

💡 Hint

Common Mistakes

Misspelling the function name or using a non-existent function.

The correct NumPy function to generate a Blackman window is np.blackman.

4fill in blank

hard

Fill both blanks to create a Bartlett window of length 12 and normalize it by dividing by its maximum value.

Signal Processing

import numpy as np
window = np.[1](12)
normalized_window = window / window[2]()

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Abartlett

Bhamming

Cmax

Dsum

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong window function or normalizing by sum instead of max.

The np.bartlett function creates a Bartlett window. Dividing by window.max() normalizes it.

5fill in blank

hard

Fill all three blanks to create a Blackman window of length 16, convert it to a list, and print its first element.

Signal Processing

import numpy as np
window = np.[1](16)
window_list = window.[2]()
print(window_list[3])

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Ablackman

Btolist

C[0]

Dlist

Attempts:

3 left

💡 Hint

Common Mistakes

Using list(window) instead of window.tolist(), or incorrect indexing syntax.

np.blackman creates the window, tolist() converts it to a list, and [0] accesses the first element.