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沈阳自动化研究所 [11]
大连理工大学 [9]
山东大学 [9]
兰州理工大学 [6]
自动化研究所 [6]
北京航空航天大学 [5]
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期刊论文 [83]
会议论文 [10]
发表日期
2019 [93]
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工学 [1]
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Infrared small target tracking algorithm based on temporal-spatial structure sparse Bayesian estimation
期刊论文
Infrared Physics & Technology, 2019, 卷号: 105, 期号: 3, 页码: 103106-1-14
作者:
Li, Zhengzhou
;
Chen, Cheng
;
Liu, Depeng
;
Zhang, Chao
;
Zeng, Jingjie
收藏
  |  
浏览/下载:115/0
  |  
提交时间:2021/05/11
Sparse Representation
Bayesian Inference
Temporal-spatial Structure Prediction
Structure Information
Small Target Tracking
Studying the Solar system dynamics using pulsar timing arrays and the LINIMOSS dynamical model
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2019, 卷号: 489, 期号: 4, 页码: 5573-5581
作者:
Guo, Y. J.
;
Li, G. Y.
;
Lee, K. J.
;
Caballero, R. N.
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  |  
浏览/下载:107/0
  |  
提交时间:2019/12/02
methods: data analysis
pulsars: general
Large dynamic range Shack–Hartmann wavefront measurement based on image segmentation and a neighbouring-region search algorithm
期刊论文
Optics Communications, 2019, 卷号: 450, 页码: 190-201
作者:
Gao, Zeyu
;
Li, Xinyang
;
Ye, Hongwei
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  |  
浏览/下载:1/0
  |  
提交时间:2021/05/06
Shack-Hartmann wavefront sensor
Dynamic range
Wavefront measurement
Centroiding methods
Image segmentation
Search algorithm
Estimation of plasma equilibrium parameters via a neural network approach
期刊论文
CHINESE PHYSICS B, 2019, 卷号: 28
作者:
Zhu, Zi-Jian
;
Guo, Yong
;
Yang, Fei
;
Xiao, Bing-Jia
;
Li, Jian-Gang
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  |  
浏览/下载:7/0
  |  
提交时间:2020/11/26
neural network
fusion
plasma equilibrium
noise immunity
A novel parallel accelerated CRPF algorithm
期刊论文
APPLIED INTELLIGENCE, 2019, 卷号: 50, 期号: 3, 页码: 849-859
作者:
Wang, Jinhua
;
Cao, Jie
;
Li, Wei
;
Yu, Ping
;
Huang, Kaijie
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  |  
浏览/下载:3/0
  |  
提交时间:2019/11/15
Particle filter
CRPF
GPU
Accelerated parallel processing
CUDA
Effect of Mathematical Expression of Vegetation Indices on the Estimation of Phenology Trends from Satellite Data
期刊论文
CHINESE GEOGRAPHICAL SCIENCE, 2019, 卷号: 29, 期号: 5, 页码: 756-767
作者:
Zuo, Lu
;
Liu, Ronggao
;
Liu, Yang
;
Shang, Rong
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  |  
浏览/下载:2/0
  |  
提交时间:2020/05/19
vegetation phenology
vegetation index
trend consistency
noise effect
spatially temporal comparability
northern China
Mongolia
Reconstructing DOA Estimation in the Second-Order Statistic Domain by Exploiting Matrix Completion
期刊论文
Circuits, Systems, and Signal Processing, 2019, 卷号: 38, 期号: 10, 页码: 4855-4873
作者:
Fang, Yunfei
;
Wang, Hongyan
;
Zhu, Shengqi
;
Li, Shaoyong
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/02/17
Covariance matrix
Direction of arrival
Vectors
Direction-of-arrival estimators
Elastic regularization
Low signal-to-noise ratio
Matrix completion
Non-uniform
Second order statistics
Sparse reconstruction
Weighted L1 norm
Reconstructing DOA Estimation in the Second-Order Statistic Domain by Exploiting Matrix Completion
期刊论文
CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 38, 期号: 10, 页码: 4855-4873
作者:
Fang, Yunfei
;
Wang, Hongyan
;
Zhu, Shengqi
;
Li, Shaoyong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/15
Direction of arrival (DOA)
Non-uniform noise
Matrix completion (MC)
Second-order statistics
Weighted l(1) norm
Atmospheric optical communications channel estimation employing superimposed training sequence under sand-dust weather conditions
期刊论文
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2019, 卷号: 48
作者:
Cao, Minghua
;
Hu, Qiu
;
Wang, Huiqin
;
Kang, Zhongjiang
;
Wu, Xin
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浏览/下载:14/0
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提交时间:2020/11/14
Bit error rate
Computational complexity
Dust
Mean square error
Meteorology
Optical communication
Sand
Signal to noise ratio
Algorithm complexity
Atmospheric optical communication
Conventional methods
Data dependent superimposed training
Optimal power allocation
Sand dusts
Superimposed training
Superimposed training sequence
Research of step-length estimation methods for full waveform inversion in time domain
期刊论文
EXPLORATION GEOPHYSICS, 2019, 页码: 17
作者:
Ma, Xiaona
;
Li, Zhiyuan
;
Ke, Pei
;
Xu, Shanhui
;
Liang, Guanghe
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2019/11/14
Full waveform inversion
step-length estimation method
exact line-search method
inexact line-search method
step-length initial-guess method
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