Practice Derivation of the Convolution Sum - 6.1.2.1 | Module 6: Time Domain Analysis of Discrete-Time Systems | Signals and Systems
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6.1.2.1 - Derivation of the Convolution Sum

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does the convolution sum represent?

πŸ’‘ Hint: Think about how inputs affect outputs in a linear system.

Question 2

Easy

What is the impulse function denoted as?

πŸ’‘ Hint: Recall the special function that focuses all energy at a single point.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the output of a DT-LTI system represented by?

  • A single impulse response
  • The convolution of the input signal and the impulse response
  • The summation of all past outputs

πŸ’‘ Hint: Think about how the output relates to the input and the system's characteristics.

Question 2

True or False: Linearity in systems allows us to add different responses together.

  • True
  • False

πŸ’‘ Hint: Consider how combining signals works in systems.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a discrete-time system with impulse response h[n] = 0.5Ξ΄[n] + 0.5Ξ΄[n-1]. If the input signal x[n] = u[n] (unit step), find the output y[n] using convolution.

πŸ’‘ Hint: Remember to evaluate non-zero overlapping pairs of the signals.

Question 2

If you composite two input signals, x[n] = Ξ΄[n] and h[n] = u[n], what will be the resulting output signal using convolution?

πŸ’‘ Hint: Consider what happens when you convolve with an impulse.

Challenge and get performance evaluation