Howtosignalprocessing
- Why is zero padding useful?
- What is the drawback of using zero padding in spatial filtering?
- Does zero padding increase frequency resolution?
- Why should I zero pad a signal before taking the Fourier transform?
Why is zero padding useful?
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 drawback of using zero padding in spatial filtering?
The disadvantage is you end up doing a longer FFT with higher computational cost: more MACs, energy spent toggling ALU/FPU transistors, memory paging and cache miss penalties, resulting in greater latency till the result is ready or requiring faster, hotter hardware.
Does zero padding increase frequency resolution?
In summary, the use of zero-padding corresponds to the time-limited assumption for the data frame, and more zero-padding yields denser interpolation of the frequency samples around the unit circle. Sometimes people will say that zero-padding in the time domain yields higher spectral resolution in the frequency domain.
Why should I zero pad a signal before taking the Fourier transform?
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.
