Using stochastic logic for efficient pattern recognition analysis

We present a pattern recognition methodology based on stochastic logic. The technique implements a parallel comparison of input data from a set of sensors to various pre-stored categories. Smart pulse-based stochastic-logic blocks are constructed to provide an efficient architecture that is able to implement Bayesian techniques, thus providing a low-cost solution in terms of gate count and power dissipation. The proposed architecture is applied to a specific navigation problem demonstrating that the system provides an almost optimal solution.