  We propose a method based on minimum-variance polynomial approximation to
extract system poles from a data set of samples of the impulse response of a
linear system. The method is capable of handling the problem under general
conditions of sampling and noise characteristics. The superiority of the
proposed method is demonstrated by statistical comparison of its performance
with the performances of two exiting methods in the special case of uniform
sampling.
