How to handle zeros before FFT convolution / deconvolution?

1. Does zero padding improve FFT resolution?
2. Does zero padding affect FFT?
3. Why zero padding is needed in FFT?
4. Why do we append zeros in our sequence for linear convolution using circular convolution?

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.

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.

Why zero padding is needed in FFT?

In addition to making the total number of samples a power of two so that faster computation is made possible by using the fast Fourier transform (FFT), zero padding can lead to an interpolated FFT result, which can produce a higher display resolution.

Why do we append zeros in our sequence for linear convolution using circular convolution?

Why do we append zeros in our sequences for linear convulation using circular convulation? To make the sequences look good.