作者： Chuyang Ye;Xiuli Li;Jingnan Chen （School of Information and Electronics, Beijing Institute of Technology, Beijing, China. Electronic address: chuyang.ye@bit.edu.cn. Deepwise AI Lab, Beijing, China;Peng Cheng Laboratory, Shenzhen, China. School of Economics and Management, Beihang University, Beijing, 37 Xueyuan Road, 100191, China. Electronic address: jchen@buaa.edu.cn.）

出处： Medical image analysis 2019

关键词： Deep network;LSTM;Sparse coding;Tissue microstructure

摘要： Diffusion magnetic resonance imaging (dMRI) offers a unique tool for noninvasively assessing tissue microstructure. However, accurate estimation of ti ...

作者： Fukun Bi;Jinyuan Hou;Liang Chen;Zhihua Yang;Yanping Wang （School of Information Science and Technology, North China University of Technology, Beijing 100144, China. bifukun@163.com. School of Information Science and Technology, North China University of Technology, Beijing 100144, China. jinyuan862@163.com. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. cl_bl2010@sina.com. School of Information Science and Technology, North China University of Technology, Beijing 100144, China. yangzhtyy@163.com. School of Information Science and Technology, North China University of Technology, Beijing 100144, China. wangyanping336@163.com.）

出处： Sensors (Basel, Switzerland) 2019

关键词： DSOD;scene classification;ship detection;visual attention enhanced network

摘要： Ship detection plays a significant role in military and civil fields. Although some state-of-the-art detection methods, based on convolutional neural ...

作者： 吴佳奕，胡天存，梁弼政，张序琦，刘策伦 （北京理工大学信息与电子学院；中国空间技术研究院西安分院空间微波技术重点实验室；北京经纬恒润科技有限公司）

出处： 中国空间科学技术 2019

关键词： 无源互调；卫星通信；非线性；双指数函数；Volterra级数

摘要： 无源互调干扰会影响多载波通信卫星的正常工作,是目前卫星通信系统必须考虑的问题之一。由于无源互调干扰问题具有一定的复杂性,无法直接分析无源互调分量,因此需要建立相应的模型进行研究。针对无源互调干扰的频率分布特点,采用双指数函数模型和Volterrra级数模型拟合无源互调干扰,推导并建立了QPSK调制信 ...

作者： LIU Han，ZHANG Yanmei，ZHAO Baojun，GUO Haichao，ZHAO Boya （School of Information and Electronics，Beijing Institute of Technology；National Key Laboratory of Science and Technology on Space Microwave，China Academy of Space Technology）

出处： Journal of Systems Engineering and Electronics 2019

摘要： A schlieren detection algorithm is proposed for the ground-to-air background oriented schlieren(BOS) system to achieve high-speed airplane shock waves ...

作者： Zhipeng Song;Bao Lei;Yun Cao;Jing Qi;Hao Peng;Qin Wang;Li Huang;Hongliang Lu;Xiao Lin;Ye-Liang Wang;Shixuan Du and Hong-Jun Gao （Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;CAS Center for Excellence in Topological Quantum Computation, Beijing 100049, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;CAS Center for Excellence in Topological Quantum Computation, Beijing 100049, China;Institute of Physics and University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100190, China;CAS Center for Excellence in Topological Quantum Computation, Beijing 100049, China）

出处： Chinese Physics B 2019

摘要： Two-dimensional (2D) materials provide a platform to exploit the novel physical properties of functional nanodevices. Here, we report on the formation ...

作者： 龙腾，刘泉华，Francois LE CHEVALIER，Pramod K VARSHNEY，Aly E FATHY （北京理工大学信息与电子学院；Department Microwave Sensing，Signals and Systems(MS3)，Delft University of Technology；Department of Electrical Engineering and Computer Science，Syracuse University；ECE Department，University of Tennessee）

出处： 中国科学(信息科学) 2019

摘要： 高分辨雷达采用宽带信号获得高距离分辨力,利用合成孔径获得高角度分辨力,可探测和精确定位目标,提供目标多维度高分辨图像及目标特征信息,用于目标分类和精细识别.在杂波和干扰环境下,高分辨雷达在目标检测、跟踪等方面具有独特优势.然而这种优势受限于雷达探测威力减小、信号处理算法复杂、数据量急剧增加等因素,迫 ...

作者： 侯留洋，罗森林，焦龙龙，张笈，潘丽敏 （北京理工大学信息与电子学院）

出处： 科学技术与工程 2019

作者： Teng LONG，Zhennan LIANG，Quanhua LIU （Radar Research Laboratory，School of Information and Electronics，Beijing Institute of Technology）

出处： Science China(Information Sciences) 2019

摘要： In recent years, the performances of radar resolution, coverage, and detection accuracy have been significantly improved through the use of ultra-wide ...

作者： WANG Shuliang，LI Qi，YUAN Hanning，GENG Jing，DAI Tianru，DENG Chenwei （School of software，Beijing Institute of Technology；School of Information and Electronics，Beijing Institute of Technology）

出处： Chinese Journal of Electronics 2019 第28卷 第1期 P76-84

关键词： Clustering；Topological；graph；partition；(TGP)；Decision；graph；under；probability；Noise；edge

摘要： Clustering is fundamental in many fields with big data. In this paper, a novel method based on Topological graph partition(TGP) is proposed to group o ...

作者： 谢湘，张立强，王晶 （北京理工大学信息与电子学院）

出处： 电子与信息学报 2019 第41卷 第1期 P233-239

关键词： 婴儿哭声识别；深度学习；残差网络；语谱图

摘要： 该文使用语谱图结合残差网络的深度学习模型进行婴幼儿哭声的识别,使用婴幼儿哭声与非哭声样本比例均衡的语料库,经过五折交叉验证,与支持向量机(SVM),卷积神经网络(CNN),基于Gammatone滤波器的听觉谱残差网络(GT-Resnet)3种模型相比,基于语谱图的残差网络取得了最优结果,F1-sco ...