## What is Fourier transform formula?

The Fourier Transform is a mathematical technique that transforms a function of time, x(t), to a function of frequency, X(ω). As before, we write ω=nω0 and X(ω)=Tcn. A little work (and replacing the sum by an integral) yields the synthesis equation of the Fourier Transform.

**What is the Fourier transform used for?**

The Fourier Transform is an important image processing tool which is used to decompose an image into its sine and cosine components. The output of the transformation represents the image in the Fourier or frequency domain, while the input image is the spatial domain equivalent.

### What is the Fourier transform of f (- T?

Any function f(t) can be represented by using Fourier transform only when the function satisfies Dirichlet’s conditions. i.e. The function f(t) has finite number of maxima and minima. There must be finite number of discontinuities in the signal f(t),in the given interval of time.

**What is Fourier transform simple explanation?**

The Fourier transform is a mathematical function that can be used to find the base frequencies that a wave is made of. This works because each of the different note’s waves interfere with each other by adding together or canceling out at different points in the wave.

## What is the unit of Fourier transform?

If you compute a Fourier transform, it changes the unit. A “forward” Fourier transform (t->f) adds /Hz to your unit, a “backward” (f->t) adds /s. The reason is that a Fourier transform shows how your original unit (“amplitude”) distributes over frequency. So the unit is naturally amplitude per frequency.

**Where is FFT used?**

FFTs are mainly used to visualize signals. However, there are also applications where FFT results are used in calculations. For example, very simple levels of defined frequency bands can be calculated by adding them via an RSS (Root Sum Square) algorithm. Another application is the comparison of spectra.