Efficiency of a Discrimination Algorithm for Signals with Unknown Parameters

Probabilities of correct decisions are found for an algorithm for discrimination of signals with unknown parameters which are observed in mixture with Gaussian noise. The loss in efficiency owing to ignorance of the parameters is estimated.