 Fourier frequency resolution

For $N$ equally spaced samples at sampling rate $f_s$, the discrete Fourier transform has frequency bins spaced by $f_s/N=1/T_{\mathrm{obs}}$. A rectangular observation window broadens a sinusoid into a sinc function profile whose nearest zeros are $1/T_{\mathrm{obs}}$ from its central frequency. This sets a conventional scale for distinguishing nearby spectral components. It is not a universal lower bound on the uncertainty of frequency estimation for an isolated tone: a specified signal model and noise level can allow precision finer than the bin spacing. Padding with zeros interpolates the spectral display without increasing the observation duration.