  We propose an Euclidean geometric representation for the classical detection
theory. The proposed representation is so generic that can be employed to
almost all communication problems. The hypotheses and observations are mapped
into R^N in such a way that a posteriori probability of an hypothesis given an
observation decreases exponentially with the square of the Euclidean distance
between the vectors corresponding to the hypothesis and the observation.
