An efficient method, based on the chirp-z transform, for computing equally spaced time samples of a continuous wavelet transform at arbitrary scale samples is developed. Applications include efficient computation of samples of the continuous wavelet transform and the broadband ambiguity function for time-frequency and time-scale signal analysis, and optimal detection of moving targets.