Why are FFT numbers so high?

1. How many points do you need for FFT?
2. What is the main advantage of FFT?
3. What does FFT do to a signal?
4. Why is fast Fourier transform fast?

How many points do you need for FFT?

Because the FFT function uses a base 2 logarithm by definition, it requires that the range or length of the time series to be evaluated contains a total number of data points precisely equal to a 2-to-the-nth-power number (e.g., 512, 1024, 2048, etc.).

What is the main advantage of FFT?

FFT helps in converting the time domain in frequency domain which makes the calculations easier as we always deal with various frequency bands in communication system another very big advantage is that it can convert the discrete data into a contionousdata type available at various frequencies.

What does FFT do to a signal?

The FFT algorithm is used to convert a digital signal (x) with length (N) from the time domain into a signal in the frequency domain (X), since the amplitude of vibration is recorded on the basis of its evolution versus the frequency at that the signal appears [40].

Why is fast Fourier transform fast?

FFT (Fast Fourier transformation) uses some clever tricks to combine 1,000 points with 1,000 points much faster. First, it combines the first and second point producing two new values, the third and fourth point producing two new points, and so on.