Computational Efficiency in FFT :a)Total Real Multiplications = 2N Log2Nb)Total Real Additions = 3N Log2NSelect one:FALSETRUE
Question
Solution 1
The statement is TRUE.
In the Fast Fourier Transform (FFT), the number of computations is significantly reduced compared to the Discrete Fourier Transform (DFT).
a) The total number of real multiplications in FFT is indeed 2N log2N. This is because each stage of the FFT requires N/2 complex mult Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solv
Similar Questions
Computational Efficiency in FFT :a)Total Real Multiplications = 2N Log2Nb)Total Real Additions = 3N Log2NSelect one:FALSETRUE
Computational Efficiency in FFT :a)Total Complex Multiplications = (N/2) Log2Nb)Total Complex Additions = N Log2N
How many complex multiplications are need to be performed for each FFT algorithm?Select one:a. (N/2)log2Nb. Nlog2Nc. None of the mentionedd. (N/2)logN
The total number of complex additions required to compute N point DFT by radix-2 FFT is?Select one:1. None of the mentioned2. (N/2)logN3. (N/2)log2N4. Nlog2N
A full binary tree of height n has _________________ leaves. A. 2n B. 2n C. 3(n+1) D. 2(n+1) E. 3n