Stochastic Computing Implementation of Chaotic Systems

An exploding demand for processing capabilities related to the emergence of Internet Things (IoT), Artificial Intelligence (AI), and big data, has led quest increasingly efficient ways expeditiously process rapidly increasing amount data. These include different approaches like improved devices capable going further in more Moore path but also new architectures beyond getting than Moore. Among solutions being proposed, Stochastic Computing positioned itself as a very reasonable alternative low-power, low-area, low-speed, adjustable precision calculations—four key-points beneficial edge computing. On other hand, chaotic circuits systems appear be an attractive solution (low-power, green) secure data transmission frame computing IoT general. Classical implementations this class require intensive precise calculations. This paper discusses use (SC) framework implementation nonlinear systems, showing that it can provide results comparable those classical integration, with much simpler hardware, paving way relevant applications.