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Prony's method is widely used to identify the poles of a time series. A new numerical implementation of Prony's method based on properties of the least squares solution of the transient data matrices is described, and a new practical indicator of the accuracy of the computational results based on the singular values of the transient data matrices is derived. This algorithm can be applied to time series which contain simple or multiple poles.