FFT of a signal with 0 added between samples

1. Does zero padding affect FFT?
2. What is the minimum number of samples for fast Fourier transformation?
3. Does zero padding improve FFT resolution?
4. What does 0 padding do?

Does zero padding affect FFT?

Zero padding allows one to use a longer FFT, which will produce a longer FFT result vector. A longer FFT result has more frequency bins that are more closely spaced in frequency.

What is the minimum number of samples for fast Fourier transformation?

The fast Fourier transform (FFT) is a computer algorithm developed by James Cooley and John Tukey. The algorithm computes the coefficients for the Fourier series that represents a sequence. The number of samples (N) in the FFT must be an integer power of 2.

Does zero padding improve FFT resolution?

Zero padding enables you to obtain more accurate amplitude estimates of resolvable signal components. On the other hand, zero padding does not improve the spectral (frequency) resolution of the DFT. The resolution is determined by the number of samples and the sample rate.

What does 0 padding do?

Zero padding is a technique typically employed to make the size of the input sequence equal to a power of two. In zero padding, you add zeros to the end of the input sequence so that the total number of samples is equal to the next higher power of two.