中国科学院机构知识库网格系统: 检索

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	Adaptive Sliding Mode Control for Steer-by-Wire Road Vehicle Systems based on Dynamic Parameter Estimation 会议论文 OAI收割 Chengdu, China, August 1-4, 2021 作者: Ge ZK(葛志康); Xu ZW(许张玮); Wang Z(王卓); Bai XP(白晓平) \| 收藏 \| 浏览/下载：45/0 \| 提交时间：2021/10/03 adaptive sliding mode controller frequency domain estimation fast adaptation
	Improving the Imaging Performance of Plasmonic Structured Illumination Microscopy Using MAP Estimation Method 期刊论文 OAI收割 Guangzi Xuebao/Acta Photonica Sinica, 2018, 卷号: 47, 期号: 4 作者: Yu, Mu-Xin; Zhou, Wen-Chao; Wu, Yi-Hui \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2019/09/17 Frequency estimation Fluorescence Fluorescence microscopy Frequency domain analysis Image reconstruction Microscopic examination Plasmonics Restoration Surface plasmons
	Improved H-infinity channel estimator based on EM for MIMO-OFDM systems 期刊论文 OAI收割 JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2011, 卷号: 22, 期号: 4, 页码: 572-578 作者: Xu Peng; Wang Jinkuan; Qi Feng \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/02/02 LINEAR-ESTIMATION WIRELESS SYSTEMS KREIN SPACES DESIGN multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) channel estimation H-infinity expectation maximization (EM) angle domain
	Improved H-infinity channel estimator based on EM for MIMO-OFDM systems 期刊论文 OAI收割 JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2011, 卷号: 22, 期号: 4, 页码: 572-578 作者: Xu Peng; Wang Jinkuan; Qi Feng \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/02/02 LINEAR-ESTIMATION WIRELESS SYSTEMS KREIN SPACES DESIGN multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) channel estimation H-infinity expectation maximization (EM) angle domain
	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：48/0 \| 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.
	Modelling a small-size unmanned helicopter using optimal estimation in the frequency domain 期刊论文 OAI收割 Intelligent Systems Technologies and Applications, 2010, 卷号: 8, 期号: 1-4, 页码: 70-85 作者: Song DL(宋大雷); Qi JT(齐俊桐); Dai L(戴磊); Han JD(韩建达); Liu GJ(刘光军) 收藏 \| 浏览/下载：20/0 \| 提交时间：2012/05/29 small-size unmanned helicopter helicopter model optimal estimation hover frequency domain
	Modeling a Small-size Unmanned Helicopter Using Optimal Estimation in The Frequency Domain 会议论文 OAI收割 15th International Conference on Mechatronics and Machine Vision in Practice, Auckland, NEW ZEALAND, December 2-4, 2008 作者: Song DL(宋大雷); Qi JT(齐俊桐); Dai L(戴磊); Han JD(韩建达); Liu GJ(刘光军) 收藏 \| 浏览/下载：51/0 \| 提交时间：2012/06/06 small-size unmanned helicopter helicopter model optimal estimation hover frequency domain
	Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wu Y.-H. 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/03/25 Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1 2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak and it reduces processing time. Since the technique proposed uses all the image information including all the white noise in the image especially and it's hard to overcome the aliasing from noises but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.
	Interactive model identification for nonholonomic cart pushed by a mobile manipulator 会议论文 OAI收割 Washington, DC, May 11-15, 2002 作者: Sun, Yu; Tan JD(谈金东); Wang YC(王越超) \| 收藏 \| 浏览/下载：51/0 \| 提交时间：2012/07/26 Force Control Frequency Domain Analysis Kinematics Laser Applications Least Squares Approximations Mathematical Models Mobile Robots Parameter Estimation Range Finders Sensors Statistical Methods Torque Control