output
19982026
most citedLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1.9k citations

Showing 2023 · eess.SPShow all

8 papers · 2 filters

eess.SP2023★ 4 cited

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…

eess.SP2023★ 7 cited

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…

eess.SP2023★ 23 cited

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…

eess.SP2023★ 19 cited

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…

eess.SP2023★ 22 cited

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…

eess.SP2023★ 18 cited

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…

eess.SP2023★ 19 cited

Fast Direct Localization for Millimeter Wave MIMO Systems via Deep ADMM Unfolding

Wenzhe Fan, Shengheng Liu, Chunguo Li +1

Massive arrays deployed in millimeter-wave systems enable high angular resolution performance, which in turn facilitates sub-meter localization services. Albeit suboptimal, up to n…

eess.SP2023★ 12 cited

Optimization of the energy efficiency in Smart Internet of Vehicles assisted by MEC

Jiafei Fu, Pengcheng Zhu, Jingyu Hua +2

Smart Internet of Vehicles (IoV) as a promising application in Internet of Things (IoT) emerges with the development of the fifth generation mobile communication (5G). Nevertheless…