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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define causality in the context of DT-LTI systems.
π‘ Hint: Think about the influence of future inputs.
Question 2
Easy
Is h[n] = Ξ΄[n] + 0.5Ξ΄[nβ1] causal?
π‘ Hint: Check the values of h[n] for n<0.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What defines a causal system?
π‘ Hint: Remember the definition of causality.
Question 2
True or False: A non-causal system's output can depend on future input samples.
π‘ Hint: Consider the nature of causality in systems.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
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.
π‘ Hint: Consider where anticipatory data can be implemented.
Question 2
Examine the impulse response h[n] = 3Ξ΄[n] + 2Ξ΄[nβ2] - Ξ΄[n+1] and determine its causality status, providing justification.
π‘ Hint: Evaluate h[n] for all negative indices.
Challenge and get performance evaluation