Practice Step 2: Recursive Computation (10.4.2) - Fast Fourier Transform: Derivation of the Radix-2 FFT
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Step 2: Recursive Computation

Practice - Step 2: Recursive Computation

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define the term 'Base Case' in DFT context.

💡 Hint: Think about the simplest example of a DFT.

Question 2 Easy

What is the recursive method used for in FFT?

💡 Hint: Consider how we approach problems step by step.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the base case in the Radix-2 FFT recursion?

When N = 4
When N = 2
When N = 8

💡 Hint: Think about the simplest calculation you can do.

Question 2

True or False: Recursive computation reduces the complexity of the DFT from O(N²) to O(N log N).

True
False

💡 Hint: Consider how many operations are needed for a larger dataset.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given an input sequence of length 8, sketch the tree of recursive calls made in FFT.

💡 Hint: Start with the sequence and divide at each recursive step.

Challenge 2 Hard

Suppose you need to compute a DFT of size 32. How many two-point computations will occur?

💡 Hint: Think about how many levels of division occur.

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