Padding

Matlab Different 1-D FFT results with and without zero-padded

Matlab Different 1-D FFT results with and without zero-padded
  1. Does zero padding affect FFT?
  2. Does zero padding improve FFT resolution?
  3. What is the use of zero padding in FFT?
  4. Why zero padding is done on the image before computing its discrete Fourier transform?

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.

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 is the use of zero padding 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 zero padding is done on the image before computing its discrete Fourier transform?

Zero padding in the time domain is used extensively in practice to compute heavily interpolated spectra by taking the DFT of the zero-padded signal. Such spectral interpolation is ideal when the original signal is time limited (nonzero only over some finite duration spanned by the orignal samples).

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