Practice Fast Fourier Transform (FFT) - 3.5 | 3. Apply the Fast Fourier Transform (FFT) for Spectral Analysis of Signals in Both Time and Frequency Domains | Analog and Digital Signal Processing and Communication
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does FFT stand for?

πŸ’‘ Hint: Remember, it’s about transforming signals.

Question 2

Easy

Name one application of FFT.

πŸ’‘ Hint: Think about where signals are analyzed.

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 primary purpose of FFT?

  • To increase computational load
  • To compress signals
  • To compute DFT efficiently

πŸ’‘ 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

πŸ’‘ Hint: Consider how frequency representation works.

Solve and get performance evaluation

Challenge Problems

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?

πŸ’‘ 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.

πŸ’‘ Hint: Think about how the structure of the data affects processing.

Challenge and get performance evaluation