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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does FFT stand for?
π‘ Hint: Remember, itβs about transforming signals.
Question 2
Easy
Name one application of FFT.
π‘ Hint: Think about where signals are analyzed.
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 is the primary purpose of FFT?
π‘ Hint: Think about how FFT optimizes signal processing.
Question 2
True or False: The output length of FFT is always double the input length.
π‘ Hint: Consider how frequency representation works.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Given a signal sampled at 1024 points, apply the Radix-2 FFT algorithm. What is the computational complexity involved?
π‘ Hint: Use the properties of logarithms for calculation.
Question 2
Describe the impact of using non-power of two samples on the performance of FFT.
π‘ Hint: Think about how the structure of the data affects processing.
Challenge and get performance evaluation