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检索条件"机构=Science and Technology on Radar Signal Processing Laboratory"
1822 条 记 录,以下是941-950 订阅
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A Imaging Passive Localization Method for Wideband signal Based on SAR
A Imaging Passive Localization Method for Wideband Signal Ba...
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Asian and Pacific Conference on Synthetic Aperture radar (APSAR)
作者: Yuqi Wang Guang-Cai Sun Jixiang Xiang Mengdao Xing Liang Guo Jun Yang National Laboratory of Radar Signal Processing Xidian University Xi'an China School of Physics and Optoelectronic Engineering Xidian University Xi'an China College of Geomatics Xi'an University of Science and Technology Xi'an China
A imaging passive localization method for wideband signal is proposed in this paper. By introducing synthetic aperture radar (SAR) imaging method, the location of the signal emitter is directly given in SAR image. The...
来源: 评论
A Multi-node Cooperative MAC Protocol Joint with Space-time Encoding for Underwater Acoustic Communication Networks
A Multi-node Cooperative MAC Protocol Joint with Space-time ...
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OCEANS - Europe
作者: Jing Huang Wei Wang Yu Li Zhanqing Pu Haining Huang Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Chinese Academy of Sciences Beijing China
It is a great challenge to design effective protocols for underwater acoustic communication networks due to the specific characteristics of underwater acoustic channel, such as long propagation delay and limited avail... 详细信息
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dense feature aggregation and pruning for RGBT tracking
arXiv
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arXiv 2019年
作者: Zhu, Yabin Li, Chenglong Luo, Bin Tang, Jin Wang, Xiao Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei Anhui China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Institute of Physical Science and Information Technology Anhui University Hefei Anhui China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Key Laboratory of Industrial Image Processing and Analysis of Anhui Province Hefei Anhui China
How to perform effective information fusion of different modalities is a core factor in boosting the performance of RGBT tracking. This paper presents a novel deep fusion algorithm based on the representations from an... 详细信息
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3R: Word and Phoneme Edition based Data Augmentation for Lexical Punctuation Prediction
3R: Word and Phoneme Edition based Data Augmentation for Lex...
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International Conference on Computational Intelligence and Security
作者: Aihua Zheng Naipeng Ye Xiao Wang Xiao Song Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Hefei China Peking University Shenzhen Institute Shenzhen China Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei China
Existing Lexical Punctuation Prediction methods are mainly trained on the standard clean data while losing the generalization in practical automatic speech recognition (ASR) system with ubiquitous transcription errors... 详细信息
来源: 评论
A Novel Two-Step Registration Method for Multi-Aspect SAR Images
A Novel Two-Step Registration Method for Multi-Aspect SAR Im...
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2018 China International SAR Symposium, CISS 2018
作者: Jing, Guobin Wang, Hui Xing, Mengdao Lin, Xin Milimeter Wave Imaging Technology Laboratory Shanghai Institute of Satellite Engineering Shanghai China National Laboratory of Radar Signal Processing Xidian University Xi'an China
Synthetic aperture radar (SAR) images of metal targets are highly sensitive to the observation angle, which is unbeneficial for target recognition. To solve this problem, a novel two-step image registration method is ... 详细信息
来源: 评论
Correction to: Underwater target detection with an attention mechanism and improved scale
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Multimedia Tools and Applications 2022年 第17期82卷 27075-27075页
作者: Wei, Xiangyu Yu, Long Tian, Shengwei Feng, Pengcheng Ning, Xin College of Information Science and Engineering Xinjiang University Urumqi China College of Network Center Xinjiang University Urumqi China Signal and Signal Processing Laboratory College of Information Science and Engineering Xinjiang University Urumqi China College of Software Xinjiang University Urumqi China Key Laboratory of Software Engineering Technology College of Software Xin Jiang University Urumuqi China Institute of Semiconductors Chinese Academy of Sciences Beijing China
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An improved RUDP for data transmission in embedded real-time system
An improved RUDP for data transmission in embedded real-time...
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2019 IEEE International Conference on signal, Information and Data processing, ICSIDP 2019
作者: Chen, Yingying Hu, Shanqing Li, Xingming Wang, Ce Chen, Zhe Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Beijing Racobit Electronic Information Technology Co.Ltd Beijing100081 China Academy of Broadcasting Science Internet Technology Institute Beijing100081 China
At present, the Ethernet has been widely used for data transmission in embedded real-time systems, including TCP (Transmission Control Protocol) and UDP (User Datagram Protocol). However, as embedded real-time systems... 详细信息
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Sparse Bayesian Learning for Distributed Passive radar Imaging via Covariance Sparse Representation
Sparse Bayesian Learning for Distributed Passive Radar Imagi...
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Asian and Pacific Conference on Synthetic Aperture radar (APSAR)
作者: Fukang Gong Shunsheng Zhang Qing He Research Institute of Electronic Science and Technology University of Electronic Science and Technology of China Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China
Due to low imaging cost and robustness, the distributed passive radars using multiple transmitters and multiple receivers to observe targets have become a hot research. In the case of low SNR, the imaging accuracy of ...
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Accuracy Improvement for Fine-Grained Image Classification with Semi-Supervised Learning
Accuracy Improvement for Fine-Grained Image Classification w...
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Asia Communications and Photonics Conference and Exhibition (ACP)
作者: Lei Yu Le Cheng Jinli Zhang Hongna Zhu Xiaorong Gao Southwest Jiaotong University Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China
Semi-supervised learning is adopted for fine-grained image classification with convolutional networks. Compared with the traditional approach of distillation, we obtain accuracy improvement of ~3 percent points under ... 详细信息
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Research on Automatic Decoding of Morse Code Based on Deep Learning
Research on Automatic Decoding of Morse Code Based on Deep L...
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International Conference on Intelligent Computing, Automation and Systems (ICICAS)
作者: Weihao Li Keren Wang Information Engineering University Zhengzhou China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China
The current automatic decoding method of the Morse telegram has limited accuracy, and can't adapt to signal distortion and code length deviation of the manual telegram. This paper introduces the deep learning meth... 详细信息
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