  In this work we review the basic principles of stochastic logic and propose
its application to probabilistic-based pattern-recognition analysis. The
proposed technique is intrinsically a parallel comparison of input data to
various pre-stored categories using Bayesian techniques. We design smart
pulse-based stochastic-logic blocks to provide an efficient pattern recognition
analysis. The proposed rchitecture is applied to a specific navigation problem.
The resulting system is orders of magnitude faster than processor-based
solutions.
