Process discrimination in a noisy environment

A probabilistic analysis of a state space trajectory generation technique for process or object identification in the presence of noise is performed. It is shown that this technique permits good discrimination against noise for a predictable process and that a set of optimum data processing parameters exist which maximize the probability of detection.