The interpolated fast Fourier transform: a comparative study

Abstract

The properties of five interpolating fast Fourier transform methods (IFFT) are studied with respect to their systematic errors and their noise sensitivity, for a monofrequency signal. It is shown that windows with small spectral sidelobes do not always result in a better overall performance of the IFFT and that time-domain estimators can be more efficient than the IFFT methods analyzed. It is also, shown that time-domain techniques have a lower Cramer-Rao lower bound than the IFFT methods, which can result in more efficient estimates.<>