中国科学院机构知识库网格系统: 检索

Neural event-triggered optimal filtering co-design of Markovian jump systems with hidden mode detections 期刊论文 OAI收割
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2023, 页码: 11
作者: Ma, Chao; Lu, Yanfeng; Wu, Wei

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收藏 | 浏览/下载：24/0 | 提交时间：2023/03/20

Markovian jump system neural event-triggered scheme optimal filtering unknown nonlinearity hidden mode detections

Max-Min Fair Sensor Scheduling: Game-Theoretic Perspective and Algorithmic Solution 期刊论文 OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 5, 页码: 2379-2385
作者: Wu, Shuang; Ren, Xiaoqiang; Hong, Yiguang; Shi, Ling

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收藏 | 浏览/下载：39/0 | 提交时间：2021/10/26

Games Resource management Nash equilibrium Optimal scheduling Scheduling Estimation error Game theory Kalman filtering max– min fairness scheduling state estimation

An Efficient Numerical Algorithm for Solving Data Driven Feedback Control Problems 期刊论文 OAI收割
JOURNAL OF SCIENTIFIC COMPUTING, 2020, 卷号: 85, 期号: 2, 页码: 27
作者: Archibald, Richard; Bao, Feng; Yong, Jiongmin; Zhou, Tao

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收藏 | 浏览/下载：43/0 | 提交时间：2021/01/14

Stochastic optimal control Nonlinear filtering Data driven Maximum principle Stochastic optimization

An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model 期刊论文 OAI收割
Remote Sensing, 2018, 卷号: 10, 期号: 7, 页码: 26
作者: Liu, R.; Wang, D. J.; Jia, P.; Sun, H.

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收藏 | 浏览/下载：27/0 | 提交时间：2019/09/17

point target detection dual-band model optimal fused probability of detection omnidirectional morphological filtering local difference criterion top-hat transform 2d images algorithm enhancement features filter track Remote Sensing

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：60/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

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：23/0 | 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.

Efficient wavelet-domain motion estimation scheme for wavelet-based video coding 期刊论文 iSwitch采集
Optical engineering, 2006, 卷号: 45, 期号: 6, 页码: 7
作者: Zhang, Lei; Tu, Guofang

收藏 | 浏览/下载：31/0 | 提交时间：2019/05/10

Optimal synthesis filtering Motion estimation Compensation Filter design Wavelet coding

Optimal design of a groundwater monitoring network in Daqing, China 期刊论文 iSwitch采集
ENVIRONMENTAL GEOLOGY, 2004, 卷号: 45, 期号: 4, 页码: 527-535
作者: Wu, Y

收藏 | 浏览/下载：30/0 | 提交时间：2019/10/08

observation well coupled finite-element method and Kalman filtering Optimal groundwater monitoring network Daqing region of China

UNIFICATION AND APPLICATIONS OF MODERN OCEANIC/ATMOSPHERIC DATA ASSIMILATION ALGORITHMS 期刊论文 OAI收割
JOURNAL OF HYDRODYNAMICS, 2004, 卷号: 16, 期号: 5, 页码: 501-517
作者: Qiao Fang-li; Zhang Shao-qing; Yuan Ye-li

收藏 | 浏览/下载：34/0 | 提交时间：2015/07/20

data assimilation oceanic/atmospheric system filtering Optimal Interpolation (OI) 4-dimensional variational(4D-Var) approach

SOME NOVEL METHODS BASED ON RECURSIVE OPTIMAL ESTIMATION - APPLICATIONS TO ANALYTICAL-CHEMISTRY 期刊论文 OAI收割
Analytica Chimica Acta, 1993, 期号: 2, 页码: 199-204
Yu, B. M.; Li, M. L.; Liu, A. P.; Li, Z. L.; Shi, L. M.; Pan, Z. X.

收藏 | 浏览/下载：30/0 | 提交时间：2014/03/14

optimization methods impurity detection kalman filtering multicomponent analysis overlapped peaks resolution recursive optimal estimation evolving factor-analysis diode-array detection liquid-chromatography kalman filter curve resolution peaks spectrometry