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检索条件"机构=Science and Technology on Radar Signal Processing Laboratory"
1825 条 记 录,以下是41-50 订阅
排序:
E-RNS : Enhancing Negative Sample Quality from Gradient Perspective for Graph Recommendation
E-RNS : Enhancing Negative Sample Quality from Gradient Pers...
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International Conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Qiangsheng Feng Jiwei Qin Jie Ma School of Computer Science and Technology Xinjiang University Key Laboratory of Signal Detection and Processing
Bayesian Personalized Ranking (BPR) is a widely used optimization function in GNN-based recommender systems, and negative samples are usually obtained through the Random Negative Sampling (RNS) method during BPR train... 详细信息
来源: 评论
Mainlobe Deceptive Interference Suppression with Planar Frequency Diverse Array MIMO radar
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IEEE Transactions on Aerospace and Electronic Systems 2025年
作者: Zhang, Mengdi Lu, Jiahao Xu, Jingwei Li, Shiyin China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China Xidian University National Laboratory of Radar Signal Processing Xi'an710071 China
Frequency diversity array (FDA) is capable of suppressing mainlobe deceptive interference with delays exceeding one pulse relative to the true target, known as inter-pulse interference. However, current FDA-based inte... 详细信息
来源: 评论
Hybrid signal fusion for target detection in distributed PA-MIMO radar systems on moving platforms
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IEEE Transactions on Aerospace and Electronic Systems 2025年
作者: Zhou, Dingsen Yang, Minglei Lian, Hao Greco, Maria Sabrina Gini, Fulvio Xidian University National Key Laboratory of Radar Signal Processing Shaanxi Xi'an710071 China Science and Technology on Underwater Test and Control Laboratory Dalian116013 China University of Pisa Department of Information Engineering Pisa56122 Italy
Distributed phased multiple-input multiple-output (PA-MIMO) radar systems on moving platforms combine the spatial diversity of MIMO radars with the coherent gain of phased-array radars, making them ideal for dynamic e... 详细信息
来源: 评论
Complex High-Resolution Range Profile-Based Discrimination Method for Active Deception Targets Within Multistatic radar System
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IEEE Sensors Journal 2025年 第10期25卷 18001-18014页
作者: Li, Qiang Guo, Yumei Xu, Hong Zhang, Linrang Chen, Zhanye Xidian University Hangzhou Institute of Technology Hangzhou311200 China Hangzhou Dianzi University School of Electronics and Information Engineering Hangzhou310018 China Xidian University School of Electronic Engineering Xi’an710071 China Xidian University National Laboratory of Radar Signal Processing Xi’an710071 China Southeast University State Key Laboratory of Millimeter Waves Nanjing210096 China Southeast University Institute of Electromagnetic Space Nanjing210096 China Chongqing University School of Microelectronics and Communication Engineering Chongqing400044 China
The available electronic counter-countermeasures methods for active deception jamming mainly focus on narrow-band processing in multistatic radar system. Compared with limited information in narrow-band case, the comp... 详细信息
来源: 评论
Leveraging Peripheral Visual Stimuli for Enhanced SSVEP-Based BCIs in Fast Calibration Scenario
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IEEE Sensors Journal 2025年 第10期25卷 17683-17695页
作者: He, Xinjie Allison, Brendan Z. Liang, Wei Chen, Weijie Wang, Xingyu Cichocki, Andrzej Jin, Jing East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Shanghai200237 China University of California San Diego Department of Cognitive Science La Jolla CA92093 United States Nicolaus Copernicus University Department of Informatics Toruń87-100 Poland Systems Research Institute Polish Academy of Science Warsaw01-447 Poland RIKEN Brain Science Institute Laboratory for Advanced Brain Signal Processing Wako351-010 Japan East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education School of Mathematics Shanghai200237 China
The decoding method based on training sample is utilized to effectively improve the recognition ability for steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). However, these methods a... 详细信息
来源: 评论
Stable Extended U-Net for Noise-Robust Speaker Verification
Stable Extended U-Net for Noise-Robust Speaker Verification
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2025 IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Wang, Zonghui Fang, Zhihua He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China School of Intelligence Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China Department of Electronic Engineering Tsinghua University Beijing100084 China Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China
With advancements in deep learning, speaker verification systems have significantly improved their performance in noisy environments. Researchers typically demonstrate the effectiveness of their improved models by com... 详细信息
来源: 评论
Improved SOCP Relaxation for SRI-Unknown Emitter Localization Using a Moving Receiver
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IEEE signal processing Letters 2025年 32卷 2199-2203页
作者: Liu, Sining Yue, Yaxing Zhao, Jiayi Shi, Zhiguo Liao, Guisheng Xidian University National Key Laboratory of Radar Signal Processing Xi'an710071 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China
Employing a single moving receiver for emitter localization offers numerous advantages, including low cost, ease of implementation, and elimination of clock synchronization. A novel localization method is proposed for... 详细信息
来源: 评论
Short-term wind power prediction with a new PCC-GWO-VMD and BiGRU hybrid model enhanced by attention mechanism
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Journal of Renewable and Sustainable Energy 2025年 第3期17卷
作者: Zhang, Xiaoyu Qin, Xizhong Qin, Jiwei Wang, Ben Yuan, Yubo School of Computer Science and Technology Xinjiang University Urumqi830046 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830046 China
The integration of wind power into the grid significantly depends on the accuracy and reliability of wind power prediction. However, the task of wind power prediction faces significant challenges due to the stochastic... 详细信息
来源: 评论
A Two-Stage Iteratively Reweighted Least Squares Estimator for Robust Elliptic Localization in the Presence of Impulsive Noise
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IEEE Transactions on Aerospace and Electronic Systems 2025年
作者: Zhao, Xiaoyu Lu, Zukun Li, Jun Huang, Long Yu, Yi Ou, Gang The College of Electronic Science and Technology National University of Defense Technology Changsha410073 China The Key Laboratory of Satellite Navigation Technology Changsha410073 China The National Key Laboratory of Radar Signal Processing Xidian University Xi’an710071 China The Hunan Xinghe Electronics Co.LTD Changsha410073 China
As a range-based localization approach, elliptic localization based on bistatic ranges (BRs) has wide range of applications in multistatic systems. This paper addresses the problem of robust elliptic localization usin... 详细信息
来源: 评论
Duplex: Dual Prototype Learning for Compositional Zero-Shot Learning
arXiv
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arXiv 2025年
作者: Peng, Zhong Xu, Yishi Wang, Gerong Chen, Wenchao Chen, Bo Zhang, Jing National Key Laboratory of Radar Signal Processing Xidian University Xi’an710071 China Research Institute of Systems Engineering Academy Military Science Beijing100089 China
Compositional Zero-Shot Learning (CZSL) enables models to recognize novel compositions of visual states and objects that not emerge during training. Existing methods struggle with generalization due to the complex ent... 详细信息
来源: 评论