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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... [9]
西安光学精密机械研究... [2]
心理研究所 [1]
合肥物质科学研究院 [1]
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OAI收割 [13]
内容类型
期刊论文 [7]
会议论文 [6]
发表日期
2023 [1]
2022 [1]
2019 [3]
2018 [1]
2016 [1]
2011 [1]
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浏览/检索结果:
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Enhanced neural synchrony associated with long-term ballroom dance training
期刊论文
OAI收割
NEUROIMAGE, 2023, 卷号: 278, 页码: 12
作者:
Wu, Xiao
;
Wang, Xiao
;
Lu, Xue-Jing
;
Kong, Ya-Zhuo
;
Hu, Li
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2023/10/09
Dance training
Neural similarity
Functional magnetic resonance imaging (fMRI)
Intersubject correlation (ISC)
Intersubject representational similarity analysis (ISRSA)
Frontal cortical-basal ganglia-thalamic circuits
Ultrashort Pulse Reflectometry (USPR) diagnostic for EAST
期刊论文
OAI收割
JOURNAL OF INSTRUMENTATION, 2022, 卷号: 17
作者:
Domier, C. W.
;
Zhu, Y.
;
Pereira, R. J.
;
Steer-Furderer, J.
;
Li, X.
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/12/23
Plasma diagnostics - interferometry, spectroscopy and imaging
Analogue electronic circuits
Nuclear instruments and methods for hot plasma diagnostics
Precision Analysis and Experiment of Focusing Mechanism of Space Hyperspectral Camera
期刊论文
OAI收割
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2019, 卷号: 55, 期号: 12, 页码: 29-36
作者:
K.Wang
;
M.Xu
;
P.Xie
;
Z.Xu
;
S.Tao
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2020/08/24
Dynamics,Cameras,CMOS integrated circuits,Focusing,Hyperspectral imaging,Testing
High-frame frequency imaging system of large area CMOS image sensor
期刊论文
OAI收割
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2019, 卷号: 27, 期号: 5, 页码: 1167-1177
作者:
Y.-H.Ning
;
H.Liu
;
Q.-L.Zhao
;
H.-Z.Guo
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/08/24
CMOS integrated circuits,Digital cameras,Dynamic random access storage,Image enhancement,Image sensors,Imaging systems,Median filters,Personnel training,Pixels,Signal to noise ratio,Specifications
Digital Time Delay and Integration Method for Wide-Range Image Motion Variation
期刊论文
OAI收割
Guangxue Xuebao/Acta Optica Sinica, 2019, 卷号: 39, 期号: 9
作者:
S.Tao
;
X.Zhang
;
Q.Feng
;
M.Song
;
Y.Wu
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2020/08/24
Image enhancement,Image quality,Imaging systems,Integration,Interpolation,Motion compensation,Pixels,Remote sensing,Scanning,Time delay,Timing circuits
High speed CMOS imaging electronics system for ultraviolet remote sensing instrument
期刊论文
OAI收割
Optics and Precision Engineering, 2018, 卷号: 26, 期号: 2, 页码: 471-479
作者:
Zhang Heng, 张 恒
;
Ma Qing-jun, 马庆军
;
Wang Shu-rong, 王淑荣
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/09/17
Remote sensing
Aerospace applications
CMOS integrated circuits
Imaging systems
Jitter
Space optics
Spectroscopy
Design of and experiment on the polarization dehazing imaging system
期刊论文
OAI收割
xi'an dianzi keji daxue xuebao/journal of xidian university, 2016, 卷号: 43, 期号: 2, 页码: 95-101
作者:
Xia, Pu
;
Liu, Xuebin
;
Yan, Peng
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2016/10/12
CMOS integrated circuits
Digital signal processors
Field programmable gate arrays (FPGA)
Fog
Fog dispersal
Imaging systems
Integrated circuit design
Metals
MOS devices
Oxide semiconductors
Polarization
Real time systems
Signal processing
Integrated solution for high resolution CCD camera imaging circuits
会议论文
OAI收割
international symposium on photoelectronic detection and imaging 2011: advances in imaging detectors and applications, beijing, china, may 24, 2011 - may 26, 2011
BaiZhe
;
XuYanbing
;
ZhangBoheng
;
DuanKailiang
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2012/07/10
High-resolution
CCD camera
Imaging circuits
Integrated Solutions
Design of driving circuit for binocular CCD image system (EI CONFERENCE)
会议论文
OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, April 26, 2010 - April 29, 2010, Dalian, China
作者:
Zhang X.
;
Zhang X.
;
Zhang X.
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2013/03/25
The paper designs a driving circuit of high sensitive
wide dynamic and high signal-to-noise ratio for binocular CCD imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Inner structure and driving timing of the FTF5066M sensor are presented. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the two sensors. By using the Correlated Double Sampling (CDS) technique
the video noise is reduced and the SNR of the system is increased. A 12- bit A/D converter is used to improve the image quality. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel. For its good performance
low power consumption and small volume
the driving system can be applied to aeronautics and astronautics field. With a further improvement
a maximum data output rate of 2.7 frames per second can be reached through all the eight channels of the two CCDs. 2010 Copyright SPIE - The International Society for Optical Engineering.
Driving and image enhancement for CCD sensing image system (EI CONFERENCE)
会议论文
OAI收割
2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China
Zhang M.
;
Ren J.
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2013/03/25
The paper designs a driving circuit of high sensitive
wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique
the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement. 2010 IEEE.