Step 1: The Discrete Fourier Transform (DFT) is computed using the formula: \[ X(k) = \sum_{n=0}^{N-1} x(n) W_N^{kn}, \quad k = 0,1,\dots,N-1 \] where \( W_N = e^{-j2\pi/N} \) is the twiddle factor.
Step 2: Computational Complexity: - Each output \( X(k) \) requires summing over \( N \) terms.
- Each term involves one complex multiplication.
- Since there are \( N \) outputs, the total number of complex multiplications is: \[ N^2 \]
- Each summation involves \( (N-1) \) complex additions.
- Since there are \( N \) outputs, the total number of complex additions is: \[ N(N-1) \]
Step 3: Evaluating options:
- (A) Correct: \( N^2 \) complex multiplications and \( N(N-1) \) complex additions.
- (B) Incorrect: Complex additions and multiplications are swapped.
- (C) Incorrect: Addition count is incorrectly given as \( N(N+1) \).
- (D) Incorrect: Both operations are incorrectly counted.