This paper proposes a new estimation procedure for the ambiguity function of
a non-stationary time series. The stochastic properties of the empirical
ambiguity function calculated from a single sample in time are derived.
Different thresholding procedures are introduced for the estimation of the
ambiguity function. Such estimation methods are suitable if the ambiguity
function is only non-negligible in a limited region of the ambiguity plane.