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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... [2]
中国科学院大学 [2]
过程工程研究所 [1]
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OAI收割 [3]
iSwitch采集 [2]
内容类型
期刊论文 [3]
会议论文 [2]
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2015 [3]
2011 [1]
2008 [1]
学科主题
Science & ... [1]
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Highly efficient synthetic aperture radar processing system for airborne sensors using cpu plus gpu architecture
期刊论文
iSwitch采集
Journal of applied remote sensing, 2015, 卷号: 9, 页码: 12
作者:
Wu, Zheng
;
Liu, Yabo
;
Zhang, Lei
;
Li, Ning
;
Du, Kangning
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浏览/下载:83/0
  |  
提交时间:2019/05/10
Synthetic aperture radar
Graphical processing unit
Signal processing system
Compute unified device architecture
Parallel computing
Acceleration of synthetic aperture radar imaging via subaperture chirp-scaling approach based on heterogeneous graphics-processing-unit-central-processing-unit architecture
期刊论文
iSwitch采集
Journal of applied remote sensing, 2015, 卷号: 9, 页码: 13
作者:
Liu, Yabo
;
Li, Hongyu
;
Wu, Zheng
;
Deng, Yunkai
;
Wang, Robert
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  |  
浏览/下载:76/0
  |  
提交时间:2019/05/10
Synthetic aperture radar
Subaperture
Overlap rate
Parallel processing
Heterogeneous graphics processing unit-central processing unit architecture
Controllable fabrication and magnetic properties of double-shell cobalt oxides hollow particles
期刊论文
OAI收割
SCIENTIFIC REPORTS, 2015, 卷号: 5, 期号: MAR, 页码: 8737
作者:
Zhang, Dan
;
Zhu, Jianyu
;
Zhang, Ning
;
Liu, Tao
;
Chen, Limiao
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  |  
浏览/下载:24/0
  |  
提交时间:2015/05/12
SHAPE-CONTROLLED SYNTHESIS
HIGH-PERFORMANCE ANODE
ONE-POT SYNTHESIS
CO3O4 NANOCUBES
STRUCTURAL MODIFICATION
SYNTHETIC ARCHITECTURE
HYDROXIDE NANOCONES
ACCURATE CONTROL
INTERIOR SPACE
ION BATTERIES
Application of quantitative fault tree analysis based on fuzzy synthetic evaluation to software development for space camera (EI CONFERENCE)
会议论文
OAI收割
2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011, Zhengzhou, China
作者:
Li Y.
;
Li Y.
;
Li Y.
;
Li Y.
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浏览/下载:27/0
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提交时间:2013/03/25
Software reliability analysis is a significant measure to guide design of software reliability. Now software fault tree method to carry on software reliability analysis is used more and more. But it can only qualitative carry on the analysis because of many reasons. For example
the scale of software is enlarging
the software architecture is getting more and more complex
the reason of software fault is very difficult to analyze
the software is difference with hardware
and it is very hard to obtain the expiration the quantitative data and so on. The space camera is extremely high to the reliable request. So the qualitative analysis is unable to satisfy the analysis request. In view of space camera characteristics
a method of fault tree analysis based on fuzzy synthetic evaluation is proposed. The results show that the new method makes software quantitative fault tree analysis possible and optimizes. It can also solve the problem of software component which is unable to quantize precisely. 2011 IEEE.
A MLP-PNN neural network for CCD image super-resolution in wavelet packet domain (EI CONFERENCE)
会议论文
OAI收割
2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008, Dalian, China
Zhao X.
;
Fu D.
;
Zhai L.
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浏览/下载:68/0
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提交时间:2013/03/25
Image super-resolution methods process an input image sequence of a scene to obtain a still image with increased resolution. Classical approaches to this problem involve complex iterative minimization procedures
typically with high computational costs. In this paper is proposed a novel algorithm for super-resolution that enables a substantial decrease in computer load. First
decompose and reconstruct the image by wavelet packet. Before constructing the image
use neural network in place of other rebuilding method to reconstruct the coefficients in the wavelet packet domain. Second
probabilistic neural network architecture is used to perform a scattered-point interpolation of the image sequence data in the wavelet packet domain. The network kernel function is optimally determined for this problem by a MLP-PNN (Multi Layer Perceptron - Probabilistic Neural Network) trained on synthetic data. Network parameters dependent on the sequence noise level. This super-sampled image is spatially Altered to correct finite pixel size effects
to yield the final high-resolution estimate. This method can decrease the calculation cost and get perfect PSNR. Results are presented
showing the quality of the proposed method. 2008 IEEE.