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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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长春光学精密机械与物... [3]
自动化研究所 [3]
数学与系统科学研究院 [2]
力学研究所 [1]
中国科学院大学 [1]
沈阳自动化研究所 [1]
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OAI收割 [11]
iSwitch采集 [1]
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期刊论文 [9]
会议论文 [3]
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2025 [1]
2023 [1]
2022 [1]
2021 [1]
2018 [1]
2017 [1]
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Multi-parameter optimisation of optical bonding for the ultra-stable optical measurement bench in space-based platform
期刊论文
OAI收割
OPTICS AND LASER TECHNOLOGY, 2025, 卷号: 188, 页码: 14
作者:
Pan, Guotao
;
Deng, Xiaoqin
;
Gao RH(高瑞弘)
;
Wang SX(王少鑫)
;
Liu HS(刘河山)
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2025/06/23
Space-based platform
Optical bonding technology
Multi-parameter
Ultra-stable optical measurement bench
Noise stability measurement
A novel varying-parameter periodic rhythm neural network for solving time-varying matrix equation in finite energy noise environment and its application to robot arm
期刊论文
OAI收割
NEURAL COMPUTING & APPLICATIONS, 2023, 页码: 17
作者:
Li, Chunquan
;
Zheng, Boyu
;
Ou, Qingling
;
Wang, Qianqian
;
Yue, Chong
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/11/17
Zeroing neural network
Varying-parameter
Periodic rhythm
Time-varying matrix equation
Finite energy noise
FROM THE WIGNER FUNCTION TO THE s-ORDERED PHASE-SPACE DISTRIBUTION VIA A GAUSSIAN NOISE CHANNEL
期刊论文
OAI收割
THEORETICAL AND MATHEMATICAL PHYSICS, 2022, 卷号: 210, 期号: 3, 页码: 425-441
作者:
Zhang, Yue
;
Luo, Shunlong
  |  
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2022/04/29
Wigner function
s-ordered phase-space distribution
Gaussian noise channel
noise parameter
nonclassicality
Parameter Simulation and Design of an Airborne Hyperspectral Imaging LiDAR System
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13
作者:
Qian, Liyong
;
Wu, Decheng
;
Liu, Dong
;
Song, Shalei
;
Shi, Shuo
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/02/14
remote sensing
hyperspectral LiDAR
parameter simulation
signal-to-noise ratio
supercontinuum laser
Recursive Bayesian Algorithm for Identification of Systems with Non-uniformly Sampled Input Data
期刊论文
OAI收割
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 335-344
作者:
Shao-Xue Jing
;
Tian-Hong Pan
;
Zheng-Ming Li
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/02/23
Parameter estimation
discrete time systems
Gaussian noise
Bayesian algorithm
covariance resetting.
Image enhancement for outdoor long-range surveillance using IQ-learning multiscale Retinex
期刊论文
OAI收割
IET IMAGE PROCESSING, 2017, 卷号: 11, 期号: 9, 页码: 786-795
作者:
Liu, Haoting
;
Lu, Hanqing
;
Zhang, Yu
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2018/03/03
Image Enhancement
Video Surveillance
Image Restoration
Wavelet Transforms
Neural Nets
Backpropagation
Outdoor Long-range Surveillance
Blind Iq-learning Multiscale Retinex
Visible Light Camera-based
Image Enhancement Method
Blind Image Quality Learning Multiscale Retinex
Image Brightness Degree
Image Region Contrast Degree
Image Edge Blur Degree
Image Colour Quality Degree
Image Noise Degree
Wavelet Transform Multiscale Retinex
Wt_msr
Multiple Optimal Control Parameter
Mocp
Backpropagation Neural Network
Bpnn
Dependence of squid intrinsic flux noise on stewart-mccumber parameter beta(c) of josephson junction
期刊论文
iSwitch采集
Ieee transactions on applied superconductivity, 2016, 卷号: 26, 期号: 5, 页码: 5
作者:
Wang, Hai
;
Wang, Yongliang
;
Kong, Xiangyan
;
Zhang, Guofeng
;
Zhang, Yi
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2019/05/09
Dc superconducting quantum interference device (squid)
Intrinsic flux noise
Readout electronics
Stewart-mccumber parameter beta(c)
Two-stage scheme (tss)
An Adaptive Fractional-Order Variation Method for Multiplicative Noise Removal
期刊论文
OAI收割
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2016, 卷号: 32, 期号: 3, 页码: 747-762
作者:
Tian D(田丹)
;
Du YK(杜英魁)
;
Chen DL(陈大力)
收藏
  |  
浏览/下载:79/0
  |  
提交时间:2016/06/06
gamma noise
image denoising
fractional differential
primal-dual algorithm
adaptive regularization parameter
DOUBLE-STEPPED ADAPTIVE CONTROL FOR HYBRID SYSTEMS WITH UNKNOWN MARKOV JUMPS AND STOCHASTIC NOISES
期刊论文
OAI收割
ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, 2009, 卷号: 15, 期号: 4, 页码: 969-993
作者:
Tan, Shuping
;
Zhang, Ji-Feng
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2018/07/30
Sampling control system
Markov jump parameter
adaptive control
double-step approach
stochastic noise
least matching error estimation
Study on the detection sensitivity of APS star tracker (EI CONFERENCE)
会议论文
OAI收割
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China
作者:
Li J.
;
Li J.
;
Li J.
;
Liu J.
;
Liu J.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
Detection sensitivity is an important parameter of star tracker
which can express detection limit of the weakest detected visual star magnitude. Detection sensitivity of APS star tracker is related to APS parameters
optical system aperture and lens permeance rate
SNR
and so on. This paper
the expressions of APS star detected signal and APS noise are given
so signal-noise ratio (SNR) of star tracker can be obtained. And based on the theory inspecting signal from noise and optimal SNR threshold detection principle
the detection sensitivity model can be obtained. The corresponding APS star tracker detection limit is obtain based on APS IBIS5 and general optical system parameter design. When SNR threshold is 8.1 which can obtain 99.9% detection probability
we can calculate that the detection sensitivity is 6.5 visual magnitude.