Jungik Jang

Towards Scalable Automatic Modulation Classification via Meta-Learning

2023

Driven by recent technological breakthroughs in deep learning (DL), many recent automatic modulation classification (AMC) methods utilize deep networks to classify the type of modulation in the incoming signal at the receiver. However, existing DL-based …

Meta-Transformer: A Meta-Learning Framework for Scalable Automatic Modulation Classification

2024 · IEEE Access

Recent advances in deep learning (DL) have led many contemporary automatic modulation classification (AMC) techniques to use deep networks in classifying the modulation type of incoming signals at the receiver. However, current DL-based methods face …