- Why should I zero pad a signal before taking the Fourier transform?
- How do you zero pad data?
- What is the effect of zero padding in frequency domain?
- How does zero padding increase frequency resolution?
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.
How do you zero pad data?
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. For example, if you have 10 samples of a signal, you can add six zeros to make the total number of samples equal to 16, or 32, which is a power of two.
What is the effect of zero padding in frequency domain?
In this case, we can say “zero padding in the frequency domain results in an increased sampling rate in the time domain”.
How 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.