1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.SP2024
Optimal Preprocessing for Joint Detection and Classification of Wireless Communication Signals in Congested Spectrum Using Computer Vision Methods
Xiwen Kang, Hua-mei Chen, Genshe Chen +2
The joint detection and classification of RF signals has been a critical problem in the field of wideband RF spectrum sensing. Recent advancements in deep learning models have revo…
eess.SP2024★ 1 cited
Joint Detection and Classification of Communication and Radar Signals in Congested RF Environments Using YOLOv8
Xiwen Kang, Hua-mei Chen, Genshe Chen +2
In this paper, we present a comprehensive study on the application of YOLOv8, a state-of-the-art computer vision (CV) model, to the challenging problem of joint detection and class…