Divide-and-conquer approach is based on the decomposition of an N-point DFT into successively smaller DFTs. This basic approach leads to FFT algorithms.Select one:1. True2. False

Which of the following statements accurately describes the computational complexity of the Fast Fourier Transform (FFT) algorithm for computing the DFT of a sequence of length 𝑁?Select one:a.The computational complexity is 𝑂(𝑁log⁡𝑁).b.The computational complexity is 𝑂(𝑁).c. The computational complexity depends on the specific properties of the input sequence and can vary.d.The computational complexity is 𝑂(𝑁2).

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

Which of the following techniques is commonly used to compute the inverse DFT (IDFT) from the DFT coefficients?Select one:a. Windowingb. Fast Fourier Transform (FFT)c. Direct summationd. Discrete cosine transform (DCT)

Which of the following is a Divide and Conquer algorithm?