机构

• 数学与系统科学研究院 [8]
• 长春光学精密机械与物... [6]

采集方式

• OAI收割 [14]

内容类型

• 期刊论文 [8]
• 会议论文 [6]

发表日期

• 2019 [1]
• 2017 [1]
• 2011 [1]
• 2010 [2]
• 2008 [3]
• 2007 [1]
• 更多

学科主题

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浏览/检索结果: 共14条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Identification for Wiener-Hammerstein systems under quantized inputs and quantized output observations 期刊论文  OAI收割 ASIAN JOURNAL OF CONTROL, 2019, 页码: 10 作者:  Guo, Jin;  Zhao, Yanlong   |  收藏  |  浏览/下载：129/0  |  提交时间：2020/01/10 asymptotic efficiency  identification  quantized inputs  quantized output observations  Wiener-Hammerstein system   Identification of Wiener systems with quantized inputs and binary-valued output observations 期刊论文  OAI收割 AUTOMATICA, 2017, 卷号: 78, 页码: 280-286 作者:  Guo, Jin;  Wang, Le Yi;  Yin, George;  Zhao, Yanlong;  Zhang, Ji-Feng   |  收藏  |  浏览/下载：27/0  |  提交时间：2018/07/30 Identification  Wiener system  Quantized input  Binary-valued observation  Asymptotic efficiency   Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文  OAI收割 2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China 作者:  Yang L.;  Zhang X.;  Zhang X.;  Zhang X.;  Yang L. 收藏  |  浏览/下载：40/0  |  提交时间：2013/03/25 In the imaging process of the space remote sensing camera  there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation  the remote sensing images were restored to give prominence to the characteristic objects in the images. First  the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images  the point spread function of the imaging system was estimated. In order to improve the accuracy  the estimated point spread function was corrected with Gaussian fitting method. Finally  the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored  its variance and its gray mean gradient increased  also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration  the blur phenomenon of the images is reduced. The characters are highlighted  and the visual effect of the images is clearer. 2011 IEEE.   Remote sensing image restoration using estimated point spread function (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010, Kunming, China 作者:  Yang L.;  Yang L. 收藏  |  浏览/下载：31/0  |  提交时间：2013/03/25 In order to reduce image blur caused by the degradation phenomenon in the imaging process  the acquired images of the space remote sensing camera are restored. First  the frequency-domain notch filter is adopted to remove strip noises in the images. Then degradation function  which is referred to as the point spread function (PSF) of the imaging system is estimated using the knife-edge method. To improve the accuracy of the estimation  the estimated PSF is adjusted with Gaussian fitting. Finally  the images are restored by Wiener filtering with the fitted PSF. The restoration results of the remote sensing images show that almost all strip noises are eliminated by the notch filter. After denoising and restoration  the variance of the remote sensing image worked with in this paper increases 30.979 and the gray mean gradient increases 3.312. Due to Gaussian fitting  the accuracy of the PSF estimation is heightened. Image restoration with the final PSF is benefit to interpreting and analyzing the remote sensing images. After restoration  the contrasts of the restored images are increased and the visual effects become clearer. 2010 IEEE.   The study of mapping relation of aeroplane complex motion and image movement and compensation technique (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China Wei Z.; Wang Y.-Y.; Xue W.-Q.; Dai M. 收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25 In order to solve the problem of image blurring due to the image motion which results from the aircraft's motion  attitude changes  and the relative motion of the camera and aircraft firstly  we install linear displacement transducer on the four shock absorbers. By analyzing the displacement values  the geometrical relationship between the camera and the aircraft is acquired  then relative motion amount between the object and the aircraft is obtained according to the motion and attitude changes. After that  making use of geometrical relationship  we can calculate the displacement variation of pixels within the camera exposure time. Thereafter  taking consider variable motion and non-linear motion as uniform motion in a straight line at the moment of imaging  then the model of the blurring image can be established according to the displacement variation of pixels within the camera exposure time  and fuzzy point spread function in the two-dimensional movement is built. By using Wiener filtering method with the optimal window  the image blurring is eliminated in aerial imaging system. Practice proved that this method can effectively eliminate the image blurring in the aerial imaging system. 2010 IEEE.   Identification for Wiener systems with internal noise 期刊论文  OAI收割 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2008, 卷号: 21, 期号: 3, 页码: 378-393 作者:  Song, Qijiang;  Chen, Hanfu   |  收藏  |  浏览/下载：29/0  |  提交时间：2018/07/30 recursive identification  stochastic approximation  strong consistency  Wiener system  Weierstrass transformation   Recursive identification for Wiener systems using Gaussian inputs 期刊论文  OAI收割 ASIAN JOURNAL OF CONTROL, 2008, 卷号: 10, 期号: 3, 页码: 341-350 作者:  Hu, Xiao-Li;  Chen, Han-Fu   |  收藏  |  浏览/下载：13/0  |  提交时间：2018/07/30 Wiener system  nonparametric nonlinearity  recursive estimate  strong consistency  stochastic approximation   Identification of Wiener systems with nonlinearity being piecewise-linear function 期刊论文  OAI收割 SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES, 2008, 卷号: 51, 期号: 1, 页码: 1-12 作者:  Huang YiQing;  Chen HanFu;  Fang HaiTao;  CHEN HanFu;  FANG HaiTao   |  收藏  |  浏览/下载：19/0  |  提交时间：2018/07/30 Wiener system  recursive identification  strong consistency  piecewise-linear function  stochastic approximation   Adaptive regulator for Hammerstein and Wiener systems with noisy observations 期刊论文  OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 卷号: 52, 期号: 4, 页码: 703-709 作者:  Chen, Han-Fu   |  收藏  |  浏览/下载：17/0  |  提交时间：2018/07/30 adaptive regulation  expanding truncations  Hammerstein system  stochastic approximation  Wiener system   Recursive identification for Wiener model with discontinuous piece-wise linear function 期刊论文  OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2006, 卷号: 51, 期号: 3, 页码: 390-400 作者:  Chen, HF   |  收藏  |  浏览/下载：13/0  |  提交时间：2018/07/30 identification  kernel function  strong consistency  Wiener system