The separation of additive, finite, discrete stochastic signals using the concept of the generalised ideal filter is considered. The autocorrelation of each component signal is assumed to be known. The conditions for existence of such a filter are determined, and an algorithm is developed for sequential implementation of the filter, updating the output with each input sample with simultaneous checking of the separability conditions.