144 citations · 171 across the 3 of their papers we have counts for
3 papers
eess.SP2022★ 12 cited
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…
cs.LG2020★ 144 cited
SR2CNN: Zero-Shot Learning for Signal Recognition
Yihong Dong, Xiaohan Jiang, Huaji Zhou +2
Signal recognition is one of significant and challenging tasks in the signal processing and communications field. It is often a common situation that there's no training data acces…
eess.SP2019★ 15 cited
Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios
Shilian Zheng, Shichuan Chen, Peihan Qi +2
Spectrum sensing is a key technology for cognitive radios. We present spectrum sensing as a classification problem and propose a sensing method based on deep learning classificatio…