Memristor Based Online Learning Neuromorphic Processor for Adaptive Modulation Spectrum Sensing in Communication Jammed Environments

Md. Shahanur Alam,Shuo Zhang,Chris Yakopcic,Tarek Taha

NAECON 2023 - IEEE National Aerospace and Electronics Conference（2023）

引用 0|浏览1

暂无评分

摘要

A memristor based neuromorphic processor for on-chip training is presented. Additionally, a novel approach utilizing in-situ learning to improve wireless signal modulation classification under adversarial jamming is described. The neuromorphic system is over 50× energy efficient than optimized digital systems at this wireless signal modulation task for similar accuracy levels.

查看译文

关键词

memristor,Neuromorphic,analog computing,adversarial jamming,AMC,wireless modulation spectrum,online learning,in-situ learning

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要