General Stochastic System

\label{general-stochastic-system}
Figure 1.1: General model of Stochastic computing system
Design of Stochastic system is generally illustrated in Fig.1.1. In this model, two parts which are expressed as two domains are Conventional computing and Stochastic computing. First, quantities in conventional format will be scaled into the interval [0, 1] for unipolar representation. Then Stochastic number generators (SNGs) will be used to generate stochastic sequences from the scaled inputs. Note that these sequences carry informations which represent the inputs. At the moment, our work is to design Stochastic system’s architecture including the Stochastic operators (SOs) and their connections which will be used for stochastic algorithms. Finally, the received results from counters are represented into interval [0, 1], then traditional encoding will be obtained by using a reverse transformation.