Search Results - "Zhongliang Jing"

Variational Bayesian Adaptive Cubature Information Filter Based on Wishart Distribution by Peng Dong, Zhongliang Jing, Leung, Henry, Kai Shen

“…This paper presents a noise adaptive variational Bayesian cubature information filter based on Wishart distribution. In the frame of recursive Bayesian…”
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Robust Minimum Error Entropy Based Cubature Information Filter With Non-Gaussian Measurement Noise by Li, Minzhe, Jing, Zhongliang, Leung, Henry

“…In this letter, a robust minimum error entropy based cubature information filter is proposed for state estimation in non-Gaussian measurement noise. A new…”
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Evaluation of focus measures in multi-focus image fusion by Huang, Wei, Jing, Zhongliang

“…Several focus measures were studied in this paper as the measures of image clarity, in the field of multi-focus image fusion. All these focus measures are…”
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Hyperspectral Image Fusion and Multitemporal Image Fusion by Joint Sparsity by Pan, Han, Jing, Zhongliang, Leung, Henry, Li, Minzhe

“…Different image fusion systems have been developed to deal with the massive amounts of image data for different applications, such as remote sensing, computer…”
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Joint Weighted Schatten-p Norm and Spatial Smoothness Regularization for Hyperspectral and Multispectral Image Fusion With Spectral Variability by Pan, Han, Jing, Zhongliang, Leung, Henry, Qu, Weizhi

“…Hyperspectral (HS) and multispectral (MS) images' fusion aims to improve their spatial resolutions and circumvent the main limitation of HS sensors. However,…”
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An Inchworm-Snake Inspired Flexible Robotic Manipulator With Multisection SMA Actuators for Object Grasping by Liu, Wuji, Jing, Zhongliang, Huang, Jianzhe, Dun, Xiangming, Qiao, Lingfeng, Leung, Henry, Chen, Wujun

“…Aiming at achieving the object grasping task, an inchworm-snake inspired flexible robotic manipulator (FRM) is presented in this article. By using both…”
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Consensus-Based Labeled Multi-Bernoulli Filter With Event-Triggered Communication by Shen, Kai, Zhang, Chengxi, Dong, Peng, Jing, Zhongliang, Leung, Henry

“…This paper introduces a novel consensus-based labeled multi-Bernoulli (LMB) filter to tackle multi-target tracking (MTT) in a communication resource-sensitive…”
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Experimental Evaluation on Structural Behaviors of ETFE Cushion Structures Subjected to Progressive Loading by Zhao, Bing, Chen, Wujun, Chen, Jianwen, Jing, Zhongliang

“…AbstractAs a kind of typical air-inflated membrane structure, ethylene–tetrafluoroethylene (ETFE) cushion has become one of the most essential engineering…”
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Consensus-Based Labeled Multi-Bernoulli Filter for Multitarget Tracking in Distributed Sensor Network by Shen, Kai, Dong, Peng, Jing, Zhongliang, Leung, Henry

“…This article introduces a novel consensus-based labeled multi-Bernoulli (LMB) filter to tackle multitarget tracking (MTT) in a distributed sensor network…”
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A novel robust interacting multiple model filter for manoeuvering target tracking by Gu, Peng, Jing, Zhongliang, Wu, Liangbin

“…A robust interacting multiple model approach is proposed to address the problem of accuracy and non‐Gaussian measurement noise in manoeuvering target tracking…”
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The Labeled Multi-Bernoulli Filter for Multitarget Tracking With Glint Noise by Dong, Peng, Jing, Zhongliang, Leung, Henry, Shen, Kai, Li, Minzhe

“…A labeled multi-Bernoulli (LMB) filter is presented to perform multitarget tracking (MTT) for the glint noise. The measurement noise is modeled as a…”
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A novel adaptive maximum correntropy cubature Kalman filter based on multiple fading factors by Gu, Peng, Jing, Zhongliang, Wu, Liangbin

“…In this paper, an adaptive maximum correntropy cubature Kalman filter based on multiple fading factors (MAMCKF) is proposed to address the problem of…”
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Robust Consensus Nonlinear Information Filter for Distributed Sensor Networks With Measurement Outliers by Dong, Peng, Jing, Zhongliang, Leung, Henry, Shen, Kai, Li, Minzhe

“…The traditional consensus-based filters are widely used in distributed sensor networks. However, they suffer from divergence when outliers occur. This paper…”
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Feedback control of unstable periodic motion for brushless motor with unsteady external torque by Huang, Jianzhe, Jing, Zhongliang

“…For dynamical systems, unstable periodic motion can play an important role, such as the walking behavior for human. Due to the dynamic characteristics,…”
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Robust Gaussian Process Quadrature Diffusion Filtering for Distributed Sensor Networks by Song, Lingyun, Jing, Zhongliang, Dong, Peng, Shen, Kai

“…In this article, we propose a robust diffusion nonlinear filtering algorithm based on Student-t distribution for distributed sensor networks (DSNs). Existing…”
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Variational Bayesian Multiple Model Filter in the Presence of Outliers by Cui, Tao, Jing, Zhongliang, Dong, Peng, Leung, Henry, Shen, Kai

“…In this article, we present a multiple model (MM) filter based on variational Bayesian (VB) in the presence of outliers. The multiple process and measurement…”
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A Consensus Nonlinear Filter With Measurement Uncertainty in Distributed Sensor Networks by Shen, Kai, Jing, Zhongliang, Dong, Peng

“…This letter addresses the consensus-based nonlinear state estimation in distributed sensor networks with unknown measurement noise statistics. The existence of…”
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Multi-focus image fusion using pulse coupled neural network by Huang, Wei, Jing, Zhongliang

“…This paper presents a method for multi-focus image fusion by using pulse coupled neural network (PCNN). The registered source images are first decomposed into…”
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Image-Based Position Control of Mobile Robots With a Completely Unknown Fixed Camera by Liang, Xinwu, Wang, Hesheng, Liu, Yun-Hui, Chen, Weidong, Jing, Zhongliang

“…In this paper, we consider the position control problem of nonholonomic mobile robots, i.e., the regulation of mobile robots to a desired position specified by…”
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Consensus-Based Labeled Multi-Bernoulli Filter with Adaptive Event-triggered Communication by Shen, Kai, Zhang, Chengxi, Dong, Peng, Jing, Zhongliang, Leung, Henry

“…The existing event-triggered distributed multi-target filters utilize a constant triggering threshold. Although the communication burden is reduced, it does…”
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