학술논문

Memristor-Based Analog Multiplier
Document Type
Conference
Source
2023 International Conference on Neuromorphic Computing (ICNC) Neuromorphic Computing (ICNC), 2023 International Conference on. :203-207 Dec, 2023
Subject
Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Technological innovation
Energy consumption
Neuromorphic engineering
Error analysis
Neural networks
Memristors
Voltage
memristor
analog multiplier
neural network
circuit implementation
Language
Abstract
Memristors, as a novel non-volatile circuit component, hold significant promise in electronic circuit applications. This article presents a novel memristor-based multiplier design, consisting of three key stages: an absolute value circuit, a multiplication circuit, and a sign circuit. The multiplier is capable of performing multiplication operations within the range of 1V to 10V, and it can achieve multiplication even when both input values are set to zero through deliberate circuit design, thereby eliminating the need for analog-to-digital signal conversion. This innovation reduces circuit complexity and energy consumption, enhancing overall circuit efficiency.