Multidimensional Euclidean Distance Calculation using In-Memory Computing

Euclidean distance (ED) calculation is essential in wireless communication systems and signal processing applications. This paper presents a low-complexity, high-throughput method for computing Euclidean distances. The central idea is to utilize the in-memory computing (IMC) technique, performing computations via an array of memristor devices. Specifically, multiplications and additions are carried out using the inherent properties of memristor devices, following Ohm's law and Kirchhoff's current law. This innovative approach boosts flexi-bility through memristor programming and enhances processing efficiency by reducing computational complexity and latency, surpassing conventional implementation methods.