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Liu, Yang.Beamspace U-ESPRIT DOA Estimation Algorithm of Coherently Distributed Sources in Massive MIMO Syst[A],2021,126-132
唐洪.Phonocardiogram signal compression using sound repetition and vector quantization[J],COMPUTERS IN BIOLOGY AND MEDICINE,2021,71:24-34
Zhang, Jiacheng.An efficient real-valued sparse Bayesian learning for non-circular signal's DOA estimation in the [J],DIGITAL SIGNAL PROCESSING,2021,106
Qiang, Xiaowei.Adaptive DOA estimation with low complexity for wideband signals of massive MIMO systems[J],SIGNAL PROCESSING,2021,176
陈朝峰.Automated brain structures segmentation from PET/CT images based on landmark-constrained dual-modali[J],Physics in Medicine and Biology,2021,66(9)
赵树源.Dynamic Hurst Parameter Estimation of Multi-fractional Processes in Impulse Noise Environment[J],MS&E,2019
赵树源.A Revised Dynamic Hurst Parameter Estimation Method Based on Generalized Exponential Window Function[A],2020
田全.Robust Fractional Lower Order Correntropy Algorithm for DOA Estimation in Impulsive Noise Environmen[J],IEICE Transactions on Communications,2020
张家成.An efficient real-valued sparse Bayesian learning for non-circular signal's DOA estimation in the pr[J],Digital Signal Processing,2020,24(8)
刘涛.Hyperbolic tangent cyclic correlation and its application to the joint estimation of time delay and [J],Signal Processing,2021,180
Ma, Jitong,Peng, Chen,Lin, Shih-Chun,Qiu, Tianshuang.Asynchronous Blind Modulation Classification the Presence of Non-Gaussian Noise[A],2019,353-362
Ma, Jitong,Liu, Hao,Peng, Chen,Qiu, Tianshuang.Unauthorized Broadcasting Identification: A Deep LSTM Recurrent Learning Approach[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020,69(9):5981-5983
Chao, Lemeng,Qiu, Tianshuang,Tian, Quan,Li, Jingchun,Li, Rong.Parameter estimation for coherently distributed noncircular sources under impulsive noise environm[J],SIGNAL IMAGE AND VIDEO PROCESSING,2020,14(7):1497-1505
Ma, Jitong,Qiu, Tianshuang,Tian, Quan.Fast Blind Equalization Using Bounded Non-Linear Function With Non-Gaussian Noise[J],IEEE COMMUNICATIONS LETTERS,2020,24(8):1812-1815
Ma, Jitong,Lin, Shih-Chun,Peng, Chen,Qiu, Tianshuang.Blind Modulation Classification under Non-Gaussian Noise via Radio Frequency Analytics[A],2019
Zhang, Jiacheng,Qiu, Tianshuang,Luan, Shengyang.Robust Sparse Representation for DOA Estimation With Unknown Mutual Coupling Under Impulsive Noise[J],IEEE COMMUNICATIONS LETTERS,2020,24(7):1455-1458
王宏禹,邱天爽.特征算子谱表示与特征展开的研究[J],通信学报,2020,41(5):1-8
Tian, Quan,Qiu, Tianshuang,Cai, Ruiyan,Ma, Jitong.A Novel DOA Estimation for Distributed Sources in an Impulsive Noise Environment[J],IEEE ACCESS,2020,8:61405-61420
Tian, Quan,Qiu, Tianshuang,Cai, Ruiyan.DOA Estimation for CD Sources by Complex Cyclic Correntropy in an Impulsive Noise Environment[J],IEEE COMMUNICATIONS LETTERS,2020,24(5):1015-1019
邱天爽.相关熵与循环相关熵信号处理研究进展[J],电子与信息学报,2020,42(1):105-118
宗静静,邱天爽.稀疏表示中稀疏系数的l1范数的特性分析[J],系统工程与电子技术,2019,41(12):2692-2696
刘浩,邱天爽,刘涛,李景春,李蓉.基于深度学习的未授权广播信号识别[J],中国无线电,2019,9(9):38-43
Tian, Quan,Qiu, Tianshuang,Cai, Ruiyan.A novel direction finding algorithm for distributed sources under impulsive noise environments[J],AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS,2020,117
Jin, Fangxiao,Qiu, Tianshuang.Low Complexity Compressive Wideband Spectrum Sensing in Cognitive Radio[A],2018,1-5
宋省伟,宗静静,邱天爽,张晓博.基于全局和区域可伸缩拟合局部熵活动轮廓模型的超声图像分割[J],生物医学工程研究,2019,38(1):37-42
Tian, Quan,Qiu, Tianshuang,Li, Jingchun,Li, Rong.Robust adaptive DOA estimation method in an impulsive noise environment considering coherently dis[J],SIGNAL PROCESSING,2019,165:343-356
Chen, Zhaofeng,Zhang, Yanjun,Wang, Hongkai,Qiu, Tianshuang,Huo, Li,Yu, Lijuan,Shi, Hongcheng.Inter-Subject Shape Correspondence Computation From Medical Images Without Organ Segmentation[J],IEEE ACCESS,2019,7:130772-130781
高宏杰,丑远婷,周明,张晓博,邱天爽.基于改进U型网络的眼底图像血管分割[J],中国生物医学工程学报,2019,38(1):1-8
Li, Li,Qiu, Tianshuang.A Robust Parameter Estimation of LFM Signal Based on Sigmoid Transform Under the Alpha Stable Dist[J],CIRCUITS SYSTEMS AND SIGNAL PROCESSING,2019,38(7):3170-3186
Liu, Tao,Qiu, Tianshuang,Luan, Shengyang.Hyperbolic-tangent-function-based cyclic correlation: Definition and theory[J],SIGNAL PROCESSING,2019,164:206-216
Liu, Yang,Zhao, Xiaoyan,Zhou, Hongli,Zhang, Yinghui,Qiu, Tianshuang.Low-complexity spectrum sensing for MIMO communication systems based on cyclostationarity[J],EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING,2019,2019(1)
王宏禹,邱天爽.信号特征谱表示与平稳随机信号谱分解统一的研究[J],通信学报,2018,39(12):1-9
郑翰艺,邱天爽.基于测地线活动轮廓模型的图像联合分割算法[J],生物医学工程研究,2018,37(4):398-403
丑远婷,邱天爽,钟明军.基于卷积神经网络的P300事件相关电位分类识别[J],中国生物医学工程学报,2018,37(6):657-664
方玲玲,乔明泽,潘晓航,邱天爽.PET/CT图像分割及其发展现状[J],电子学报,2018,46(10):2504-2510
王鹏,邱天爽,金芳晓,夏楠,李景春.脉冲噪声下基于稀疏表示的韧性DOA估计方法[J],电子学报,2018,46(7):1537-1544
邱天爽,陈兴,马济通,李景春,李蓉.基于循环相关熵谱的时频混叠信号载波频率估计方法[J],通信学报,2018,39(6):20-26
Fang, Lingling,Chen, Chaofeng,Qiu, Tianshuang,Liu, Yin.Active contour model driven by global and local intensity information for ultrasound image segment[J],COMPUTERS & MATHEMATICS WITH APPLICATIONS,2018,75(12):4286-4299
Khumdoung Netsai,邱天爽.基于全局和局部相关熵活动轮廓模型的超声图像分割算法[J],生物医学工程研究,2018,37(2):142-147
徐一平,邱天爽,刘宇鹏.基于VAG信号分析的无创膝关节损伤病变检测与辅助诊断[J],生物医学工程研究,2018,37(2):233-237
Liu, Yang,Zhang, Yinghui,Qiu, Tianshuang,Gao, Jing,Na, Shun.Improved time difference of arrival estimation algorithms for cyclostationary signals in alpha-sta[J],DIGITAL SIGNAL PROCESSING,2018,76:94-105
Li, Houjie,Qiu, Tianshuang,Luan, Shengyang,Song, Haiyu,Wu, Linxiu.Deblurring traffic sign images based on exemplars.[J],PloS one,2018,13(3):e0191367
邱天爽.A Simplified DOA Estimation Method Based on Correntropy in the Presence of Impulsive Noise[J],IEEE ACCESS,2018,6(0):67010-67025
邱天爽.Low Complexity Compressive Wideband Spectrum Sensing in Cognitive Radio[A],2018
邱天爽.A hybrid active contour model based on global and local information for medical image segmentation[J],Multidimensional Systems and Signal Processing,2018,0(0):1-55
邱天爽.Improved time difference of arrival estimation algorithms for cyclostationary signals in α-stable i[J],Digital Signal Processing,2018,76(0):94-105
邱天爽.Automatic Modulation Classification Using Cyclic Correntropy Spectrum in Impulsive Noise[J],IEEE Wireless Communications Letters,2018,0(0):0-0
刘诚,邱天爽,李景春,李蓉.脉冲噪声环境下基于最大相关熵准则的仿射投影算法[J],大连理工大学学报,2018,58(1):86-91
Ma, Zheng,Qiu, Tianshuang.Quasi-periodic fluctuation in Donchin's speller signals and its potential use for asynchronous contr[J],Biomedizinische Technik. Biomedical engineering,2018,63(2):105-112
马济通,邱天爽*,李蓉,夏楠,李景春.脉冲噪声下基于Renyi熵的分数低阶双模盲均衡算法[J],电子与信息学报,2018,40(2):378-385
Liu, Tao,Qiu, Tianshuang,Luan, Shengyang.Cyclic Correntropy: Foundations and Theories[J],IEEE ACCESS,2018,6:34659-34669
Tian, Quan,Qiu, Tianshuang,Ma, Jitong,Li, Jingchun,Li, Rong.A Simplified DOA Estimation Method Based on Correntropy in the Presence of ImpuIsive Noise[J],IEEE ACCESS,2018,6:67010-67025
Li, Li,Qiu, Tianshuang.A novel phase parameter estimation method of quadratic FM signal based on Sigmoid fractional ambig[J],AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS,2018,93:268-276
Chen, Zhaofeng,Qiu, Tianshuang,Huo, Li,Yu, Lijuan,Shi, Hongcheng,Zhang, Yanjun,Wang, Hongkai.Deformable Head Atlas of Chinese Adults Incorporating Inter-Subject Anatomical Variations[J],IEEE ACCESS,2018,6:51392-51400
张家成,邱天爽,马济通.基于改进色度模型的非接触式心率检测与估计[J],中国生物医学工程学报,2017,36(6):641-646
Ma, Zheng,Qiu, Tianshuang.Performance improvement of ERP-based brain-computer interface via varied geometric patterns[J],MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING,2017,55(12):2245-2256
Liu, Tao,Qiu, Tianshuang,Dai, Ruijiao,Li, Jingchun,Chang, Liang,Li, Rong.Nonlinear regression A*OMP for compressive sensing signal reconstruction[J],DIGITAL SIGNAL PROCESSING,2017,69:11-21
Zhang, Jinfeng,Qiu, Tianshuang.The Fractional Lower Order Moments Based ESPRIT Algorithm for Noncircular Signals in Impulsive Noi[J],WIRELESS PERSONAL COMMUNICATIONS,2017,96(2):1673-1690
Zhang, Jin-feng,Qiu, Tian-shuang,Wang, Peng,Luan, Sheng-yang.A novel cauchy score function based DOA estimation method under alpha-stable noise environments[J],SIGNAL PROCESSING,2017,138:98-105
邱天爽,刘蓉,王洪凯,唐洪,刘海龙,刘惠,齐莉萍,朱勇.工程认证背景下"信号与系统"课程特点与教学策略探讨——以生物医学工程专业为例[J],工业和信息化教育,2017,8:52-56
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