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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [6]
自动化研究所 [2]
沈阳自动化研究所 [2]
地理科学与资源研究所 [1]
计算技术研究所 [1]
数学与系统科学研究院 [1]
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OAI收割 [21]
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期刊论文 [12]
会议论文 [9]
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2024 [1]
2022 [1]
2019 [2]
2017 [1]
2015 [1]
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Engineerin... [1]
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Two-Dimensional Legendre Polynomial Method for Internal Tide Signal Extraction
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 18, 页码: 17
作者:
Zhang, Yunfei
;
Luo, Cheng
;
Chen, Haibo
;
Cui, Wei
;
Lv, Xianqing
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/12/20
Legendre polynomial fitting
satellite observation
data analysis
internal tide signals
correlation analysis
ELMs filaments extraction on divertor visible high-speed camera system of EAST
期刊论文
OAI收割
JOURNAL OF INSTRUMENTATION, 2022, 卷号: 17
作者:
Yan, Hailong
;
Han, Xiaofeng
;
Yang, Jianhua
;
Hu, Jiahui
;
Wang, Jichao
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/12/23
Plasma diagnostics-high speed photography
Data processing methods
Pattern recognition
cluster finding
calibration and fitting methods
Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2410-2418
作者:
Chen, Guang-Yong
;
Gan, Min
;
Ding, Feng
;
Chen, C. L. Philip
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2019/12/16
Data fitting
modified Gram-Schmidt (MGS)
parameter estimation
separable nonlinear least-squares problem
variable projection (VP)
A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 2, 页码: 526-537
作者:
Chen, Guang-Yong
;
Gan, Min
;
Chen, C. L. Philip
;
Li, Han-Xiong
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2019/07/12
Data fitting
regularization
separable nonlinear least squares (SNLLS)
variable projection (VP)
weighted generalized cross validation (WGCV)
Robust and Parameter-Free Algorithm for Constructing Pit-Free Canopy Height Models
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 卷号: 6, 期号: 7, 页码: 13
作者:
Chen, Chuanfa
;
Wang, Yifu
;
Li, Yanyan
;
Yue, Tianxiang
;
Wang, Xin
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2019/09/25
canopy height model
data pit
tree crown
robust fitting
Temperature Compensation and Data Fusion Based on a Multifunctional Gas Detector
期刊论文
OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2015, 卷号: 64, 期号: 1, 页码: 204-211
作者:
Yu JB(禹金标)
;
Yu, JB
;
Li, J
;
Dai, QL
;
Li, D
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2016/04/18
Compensation
gas detector
gas sensor
measurement system data handling
sensitivity
surface fitting
Real-time road detection and description for robot navigation in an unstructured campus environment
会议论文
OAI收割
11th World Congress on Intelligent Control and Automation (WCICA 2014), Shenyang, China, June 29 - July 4, 2014
作者:
Xu, Wenhao
;
Zhuang Y(庄严)
;
Hu, Huosheng
;
Zhao YW(赵忆文)
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2015/09/15
road detection
unstructured road describing
laser-vision data fusion
RANSAC spline fitting
field robotics
A method for resolving overlapped peaks in laser-induced breakdown spectroscopy (LIBS)
期刊论文
OAI收割
Applied Spectroscopy, 2013, 卷号: 67, 期号: 9, 页码: 1087-1097
作者:
Zhang B(张博)
;
Yu HB(于海斌)
;
Sun LX(孙兰香)
;
Xin Y(辛勇)
;
Cong ZB(丛智博)
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/10/05
Curve fitting
Data processing
Absorption of multi-components from Coptidis Rhizoma in Caco-2 monolayer model and their interactions
期刊论文
OAI收割
Chinese Traditional and Herbal Drugs, 2013, 卷号: 44, 期号: 13, 页码: 1801-1806
作者:
Qi Juan
;
Guo Tao
;
Li Haiyan
;
Zhang Xueju
;
Yin Xianzhen
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/01/08
aqueous extract of Coptidis Rhizoma
Caco-2 monolayer model
multi-component interactions
apparent permeability coefficient
data fitting
Design of motion compensation mechanism of satellite remote sensing camera (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Gu S.
;
Yan Y.
;
Xu K.
;
Jin G.
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2013/03/25
With the development of aerospace remote sensing technology
the ground resolution of remote sensing camera enhances continuously. Since there is relative motion between camera and ground target when taking pictures
the target image recorded in recording media is moved and blurred. In order to enhance the imaging quality and resolution of the camera
the image motion had to be compensated. In order to abate the effect of image motion to image quality of space camera and improve the resolution of the camera
the compensation method of image motion to space camera is researched. First
the reason of producing drift angle and adjustment principle are analyzed in this paper. This paper introduce the composition and transmission principle of image motion compensation mechanism. Second
the system adopts 80C31 as controller of drift angle
and adopts stepping motor for actuators
and adopts absolute photoelectric encoder as the drift Angle measuring element. Then the control mathematical model of the image motion compensation mechanism are deduced
and it achieve the closed-loop control of the drift angle position. At the last
this paper analyses the transmission precision of the mechanism. Through the experiment
we measured the actual precision of the image motion compensation mechanism
and compared with the theoretical analysis. There are two major contributions in this paper. First
the traditional image motion compensation mechanism is big volume and quality heavy. This has not fit for the development trend of space camera miniaturization and lightweight. But if reduce the volume and quality of mechanism
it will bring adverse effects for the precision and stiffness of mechanism. For this problem
This paper designed a image motion compensation that have some advantages such as small size
light weight at the same time
high precision
stiffness and so on. This image motion compensation can be applicable to the small optics cameras with high resolution. Second
the traditional mechanism control need to corrected
fitting and iterative for the control formula of mechanism. Only in this way
we can get the optimal control mathematical model. This paper has high precision of the control formula derived. It can achieve the high precision control without fitting
It also simplify the difficulty of control mathematical model establishment. This paper designed the range of adjusting of image motion compensation mechanism between -5 +5. Based on choosing-5
-4
-3
-2
-1
0
+1
+2
+3
+4
+4 as the expectation value of the imaginary drift angle
we get ten groups of the fact data in adjusting drift angle measured. The test results show that the precision of the drift angle control system can be achieved in 1. It can meet the system requirements that the precision of the control system is less than 3'
and it can achieve the high-precision image motion compensation. 2011 SPIE.