Practice Fast Fourier Transform (fft) (3.5) - Apply the Fast Fourier Transform (FFT) for Spectral Analysis of Signals in Both Time and Frequency Domains
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Fast Fourier Transform (FFT)

Practice - Fast Fourier Transform (FFT)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does FFT stand for?

💡 Hint: Remember, it’s about transforming signals.

Question 2 Easy

Name one application of FFT.

💡 Hint: Think about where signals are analyzed.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary purpose of FFT?

To increase computational load
To compress signals
To compute DFT efficiently

💡 Hint: Think about how FFT optimizes signal processing.

Question 2

True or False: The output length of FFT is always double the input length.

True
False

💡 Hint: Consider how frequency representation works.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a signal sampled at 1024 points, apply the Radix-2 FFT algorithm. What is the computational complexity involved?

💡 Hint: Use the properties of logarithms for calculation.

Challenge 2 Hard

Describe the impact of using non-power of two samples on the performance of FFT.

💡 Hint: Think about how the structure of the data affects processing.

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Reference links

Supplementary resources to enhance your learning experience.