Fft graph

1. What is an FFT graph?
2. Why are FFT graphs important?
3. What does FFT analysis show?
4. What FFT means?
5. What is FFT algorithm used for?

What is an FFT graph?

Frequency-domain graphs– also called spectrum plots and Fast Fourier transform graphs (FFT graphs for short)- show which frequencies are present in a vibration during a certain period of time.

Why are FFT graphs important?

The main advantage of an FFT is speed, which it gets by decreasing the number of calculations needed to analyze a waveform.

What does FFT analysis show?

In a complex signal, the FFT helps the engineer to determine the frequencies that are being excited and the amplitude at each frequency. Additionally, it highlights the changes at the frequency and amplitude and the harmonic excitation in a frequency range.

What FFT means?

A fast Fourier transform (FFT) is an algorithm that computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IDFT). Fourier analysis converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa.

What is FFT algorithm used for?

The FFT algorithm is one of the heavily used in many DSP applications. It is used whenever the signal needs to be processed in the spectral, or frequency domain. It is so efficient to implement, that sometimes even FIR filtering functions are performed using an FFT.