2 papers
eess.SP2026
Automatic Modulation Classification via Green Machine Learning
Chee-An Yu, Young-Kai Chen, C. -C. Jay Kuo
In this work, we propose an interpretable, robust, and lightweight machine learning method for automatic modulation classification (AMC) under dynamic and noisy channel conditions.…
eess.SP2026
G-AMC: A Green Automatic Modulation Classification Method
Chee-An Yu, Young-Kai Chen, C. -C. Jay Kuo
In this work, we propose an efficient and transparent green learning pipeline to address the automatic modulation classification (AMC) problem. This pipeline aims to enable receive…