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2D FFT


We define the two-dimensional discrete Fourier transform (2D DFT) as follows:

F(u,v) = \frac{1}{{MN}}\sum_{x = 0}^{M-1} {\sum_{y = 0}^{N-1} {f(x,y)} } e^{ - i2\pi(ux/M + vy/N)}

where f(x,y) is the input signal.

Along with the complex result, the amplitude, phase and power of the transformed data can be computed.

If you wish to view the zero-frequency component (also known as DC component) in the middle, the DC Shift Center checkbox should be selected.

To use 2D FFT:

  1. Make a matrix book active.
  2. Select Analysis: Signal Processing: FFT: 2D FFT from the Origin menu.
The FFT2 Dialog Box
Algorithm