Estimating rapidly varying frequencies in the presence of noise

A variable window length least-squares fitting and the interpolated fast Fourier transform methods are used to estimate the rapidly changing frequency of a signal with measurement noise. The least-squares method is computationally more expensive, but provides more accurate frequency estimates.