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Signal Processingdata~10 mins

Why Z-transform is used in DSP in Signal Processing - Test Your Understanding

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to import the library used for Z-transform in Python.

Signal Processing
from sympy import [1]
Drag options to blanks, or click blank then click option'
Aintegrate
Bfft
Cztrans
Dplot
Attempts:
3 left
💡 Hint
Common Mistakes
Importing unrelated functions like fft or integrate.
2fill in blank
medium

Complete the code to define a discrete signal x[n] as a list.

Signal Processing
x = [1, 2, 3, 4, [1]]
Drag options to blanks, or click blank then click option'
A5
B-1
C0
D6
Attempts:
3 left
💡 Hint
Common Mistakes
Adding zero or negative numbers which break the sequence.
3fill in blank
hard

Fix the error in the code to compute the Z-transform of x[n].

Signal Processing
from sympy import symbols, [1]
n, z = symbols('n z')
x = 1
Z = [1](x, n, z)
Drag options to blanks, or click blank then click option'
Adiff
Bfft
Cintegrate
Dztrans
Attempts:
3 left
💡 Hint
Common Mistakes
Using fft or integrate which are unrelated to Z-transform.
4fill in blank
hard

Fill both blanks to create a dictionary comprehension that maps n to x[n] for n from 0 to 4.

Signal Processing
x = {n: [1] for n in range([2])}
Drag options to blanks, or click blank then click option'
An+1
B5
C4
Dn
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong range or wrong value expression.
5fill in blank
hard

Fill all three blanks to compute the Z-transform of a signal and print the result.

Signal Processing
from sympy import symbols, [1]
n, z = symbols('n z')
x = [2]
Z = [1](x, n, [3])
print(Z)
Drag options to blanks, or click blank then click option'
Aztrans
Bn+1
Cz
Dn
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong function names or variables.