109 citations · 364 across the 87 of their papers we have counts for
6 papers · 1 filter
Radio-FM: A Foundation Model for Radio Signal Representation Learning and Its Applications
Jinchao Zhou, Wupeng Xie, Zhuangzhi Chen +4
Applying foundation models to the radio frequency (RF) domain presents unique challenges due to the intrinsic physical complexity of raw I/Q signals and the extreme heterogeneity o…
Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals
Tao Chen, Shilian Zheng, Jiepeng Chen +3
Multi-antenna receiving systems have become a prevalent technical solution in communication systems. Meanwhile, deep learning has achieved significant progress in automatic modulat…
Deep Learning-Based Frequency Offset Estimation
Tao Chen, Shilian Zheng, Jiawei Zhu +2
In wireless communication systems, the asynchronization of the oscillators in the transmitter and the receiver along with the Doppler shift due to relative movement may lead to the…
Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
Xinjie Xu, Zhuangzhi Chen, Dongwei Xu +5
With the rapid development of deep learning, automatic modulation recognition (AMR), as an important task in cognitive radio, has gradually transformed from traditional feature ext…
Deep Transfer Clustering of Radio Signals
Qi Xuan, Xiaohui Li, Zhuangzhi Chen +3
Modulation recognition is an important task in radio signal processing. Most of the current researches focus on supervised learning. However, in many real scenarios, it is difficul…
SigNet: A Novel Deep Learning Framework for Radio Signal Classification
Zhuangzhi Chen, Hui Cui, Jingyang Xiang +6
Deep learning methods achieve great success in many areas due to their powerful feature extraction capabilities and end-to-end training mechanism, and recently they are also introd…