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- Nanjing UniversityCN179 papers
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- University of Science and Technology of ChinaCN130 papers
- University of Chinese Academy of SciencesCN123 papers
- Fudan UniversityCN119 papers
- Institute of High Energy PhysicsCN117 papers
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8 papers · 2 filters
Passive Integrated Sensing and Communication Scheme based on RF Fingerprint Information Extraction for Cell-Free RAN
Jingxuan Yu, Fan Zeng, Jiamin Li +4
This paper investigates how to achieve integrated sensing and communication (ISAC) based on a cell-free radio access network (CF-RAN) architecture with a minimum footprint of commu…
NoncovANM: Gridless DOA Estimation for LPDF System
Yangying Zhao, Peng Chen, Zhenxin Cao +1
Direction of arrival (DOA) estimation is an important research in the area of array signal processing, and has been studied for decades. High resolution DOA estimation requires lar…
DNN-DANM: A High-Accuracy Two-Dimensional DOA Estimation Method Using Practical RIS
Zhimin Chen, Peng Chen, Le Zheng +1
Reconfigurable intelligent surface (RIS) or intelligent reflecting surface (IRS) has been an attractive technology for future wireless communication and sensing systems. However, i…
Integrated Super-Resolution Sensing and Communication with 5G NR Waveform: Signal Processing with Uneven CPs and Experiments
Chaoyue Zhang, Zhiwen Zhou, Huizhi Wang +1
Integrated sensing and communication (ISAC) is a promising technology to simultaneously provide high-performance wireless communication and radar sensing services in future network…
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
Hongxiang Gao, Xingyao Wang, Zhenghua Chen +3
Electrocardiogram (ECG) monitoring is one of the most powerful technique of cardiovascular disease (CVD) early identification, and the introduction of intelligent wearable ECG devi…
Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network
Ninghao Pu, Zhongxing Wu, Ao Wang +3
Reasonably and effectively monitoring arrhythmias through ECG signals has significant implications for human health. With the development of deep learning, numerous ECG classificat…