Low-Complexity Mean Calculation Schemes Using In Memory Computing

The computation of means, specifically the arithmetic mean, weighted mean, and harmonic mean, serves as a fundamental component in numerical computing, particularly in diverse signal processing applications. This paper presents an adaptable, low-complexity, and reconfigurable scheme for the implementation of various mean calculations. The key concept involves utilizing in-memory computing (IMC) technique and executing computations through a set of memristive devices. Specifically, the required multiplications and additions leverage the inherent properties of memristor devices, adhering to Ohm's law and Kirchhoff's current law. This innovative approach not only enhances flexibility by leveraging the unique capabilities of IMC but also reduces computational complexity and latency compared to conventional implementation approaches.