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兰州理工大学 [7]

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	Iterated particle filter for bearing only target tracking 期刊论文 Advances in Intelligent Systems and Computing, 2018, 卷号: 842, 页码: 840-848 作者: Wang, F.; Li, X.; Lin, B.; Zhang, J. 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/02 Clutter (information theory) Iterative methods Kalman filters Monte Carlo methods, Bearing only target Bearing only tracking Degeneracy problems Estimation problem Iterated Kalman filter Particle filter Particle Filtering Proposal distribution, Target tracking
	Considering environmental implications of distribution channel choices: A comparative study based on game theory 期刊论文 JOURNAL OF CLEANER PRODUCTION, 2017, 卷号: 167, 页码: 1155-1164 作者: Zhao, Qiuhong; Jin, Jie; Deng, Xiuquan; Wang, Donghai 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/30 Channel selection Environment costs Game theory Customer distribution range Policy proposal
	Particle filter algorithm with correlative noises 期刊论文 Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2016, 卷号: 45, 期号: 3, 页码: 436-441 作者: Li, Wei; Cao, Jie; Li, Jun; Wang, Jin-Hua 收藏 \| 浏览/下载：10/0 \| 提交时间：2020/11/14 Distribution functions Monte Carlo methods Nonlinear systems Probability density function Analysis and simulation Characteristic of noise Joint probability density function Noise correlation Nonlinear system modeling Particle filter Particle filter algorithms Proposal distribution
	Tracking objects in video-based education using an enhanced particle filter 期刊论文 JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 卷号: 31, 页码: 2573-2581 作者: Wang, Fasheng; Xiao, Zhibo; Chen, Wei; Li, Xucheng; Lu, Mingyu 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/09 Video based learning visual tracking particle filter proposal distribution
	Novel particle filter algorithm based on invasive weed optimization 期刊论文 Journal of Information and Computational Science, 2015, 卷号: 12, 期号: 12, 页码: 4781-4790 作者: Cao, Jie; Wu, Mingming; Wang, Jinhua 收藏 \| 浏览/下载：6/0 \| 提交时间：2020/11/14 Computer applications Jitter Monte Carlo methods Optimization Target tracking Degree of degradation Importance re samplings Invasive weed Invasive weed optimization Optimization algorithms Particle filter Particle filter algorithms Proposal distribution
	Target robust tracking in clutter environment with non-Gaussian related noise 期刊论文 Guangdianzi Jiguang/Journal of Optoelectronics Laser, 2014, 卷号: 25, 期号: 12, 页码: 2393-2399 作者: Sun, Tao; Cao, Jie; Li, Wei; Li, Jun 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/11/14 Clutter (information theory) Distribution functions Functions Gaussian distribution Monte Carlo methods Target tracking Tracking (position) Vehicles Cauchy-Gaussian mixtures Correlative noise Mathematical expressions Multiple features fusions Nonlinear system modeling Object Tracking Particle filter Proposal distribution
	Speaker tracking method research with correlative noises 期刊论文 Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2014, 卷号: 26, 期号: 12, 页码: 2251-2257 作者: Li, Jun; Cao, Jie; Li, Wei 收藏 \| 浏览/下载：33/0 \| 提交时间：2020/11/14 Distribution functions Monte Carlo methods Anti-interference Correlative noise Microphone arrays Minimum variance Observation information Particle filter Proposal distribution Speaker tracking
	Improved UPF algorithm based on Gaussian Sigma points selection 期刊论文 Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2014, 卷号: 44, 期号: 5, 页码: 1435-1440 作者: Cao, Jie; Dai, Bin; Li, Xiao-Xu 收藏 \| 浏览/下载：29/0 \| 提交时间：2020/11/14 Approximation algorithms Computer applications Distribution functions Gaussian distribution Monte Carlo methods Metropolis Hastings Particle filter Particle filter algorithms Posterior probability Proposal distribution Sigma point Unscented Kalman Filter Unscented particle filters
	An improved particle filter with applications in ballistic target tracking 期刊论文 Sensors and Transducers, 2014, 卷号: 172, 期号: [db:dc_citation_issue], 页码: 196-201 作者: Wu, Chun-Ling; Ju, Yong-Feng; Ju, Yong-Feng 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/02 Ballistic target tracking Importance density function Improved particle filter Nonlinear filtering algorithm Particle filter Proposal distribution Quadrature Kalman filters Statistical linear regressions
	Adaptive unscented particle filter algorithm under unknown noise 期刊论文 Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2013, 卷号: 43, 期号: 4, 页码: 1139-1145 作者: Li, Yu-Chen; Li, Zhan-Ming 收藏 \| 浏览/下载：26/0 \| 提交时间：2020/11/14 Adaptive filters Clutter (information theory) Data processing Distribution functions Information filtering Kalman filters Monte Carlo methods Target tracking Anti-noise ability Estimation errors Particle filter Proposal distribution Statistic characteristics Unknown noise Unscented Kalman Filter Unscented particle filters

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