DFT ( Discrete Fourier Transform )
The DFT is a finite sum, so it can be computed using a computer. Used for discrete, time-limited signals, or discrete periodic signals. The DFT of a signal will be discrete and have a finite duration.
Definition
DFT
- $ X(k) = \sum_{n=0}^{N-1}{x[n]e^{-j \frac{2{\pi}}{N}kn}}, k = 0, 1, 2, ..., N-1 $
Inverse DFT (IDFT)
- $ x[n] = \frac{1}{N}\sum_{k=0}^{N-1}{X(k)e^{j \frac{2{\pi}}{N}kn}}, n = 0, 1, 2, ..., N-1 $
Properties
Linearity For all $ a,b $ in the complex plane, and all $ x_1[n],x_2[n] $ with the same period N
$ ax_1[n] + bx_2[n] \longleftarrow aX_1[k] + bX_2[k] $
Time-Shifting For all $ n_0 $ included in Z, and all x[n] with period N
$ x[n - n_0] \longleftarrow X[k]e^{-j \frac{2{\pi}}{N} n_0 k} $ Back to ECE438 course page
