Practice Causality (6.1.4.1) - Time Domain Analysis of Discrete-Time Systems
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Causality

Practice - Causality

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define causality in the context of DT-LTI systems.

💡 Hint: Think about the influence of future inputs.

Question 2 Easy

Is h[n] = δ[n] + 0.5δ[n−1] causal?

💡 Hint: Check the values of h[n] for n<0.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What defines a causal system?

It can predict future inputs
It depends on current and past inputs
It has no impulse response

💡 Hint: Remember the definition of causality.

Question 2

True or False: A non-causal system's output can depend on future input samples.

True
False

💡 Hint: Consider the nature of causality in systems.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Propose a scenario where a non-causal system can be beneficial and explain why. Then, contrast it with a real-time application where causality is crucial.

💡 Hint: Consider where anticipatory data can be implemented.

Challenge 2 Hard

Examine the impulse response h[n] = 3δ[n] + 2δ[n−2] - δ[n+1] and determine its causality status, providing justification.

💡 Hint: Evaluate h[n] for all negative indices.

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Reference links

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