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Corrigendum to “Fast and scalab.e lock methods for video coding on many-core architecture” [J. Vis. Commun. 25 (7) (2014) 1758–1762]

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Journal of Visual Communication and Image Representation 2015年 26卷 350-350页

作者： Weizhi Xu Hui Yu Dianjie Lu Fenglong Song Da Wang Xiaochun Ye Songwei Pei Dongrui Fan Hongtao Xie Institute of Microelectronics Tsinghua University Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Information Science and Engineering Shandong Normal University Jinan China Department of Computer Science and Technology Beijing University of Chemical Technology Beijing China Institute of Information Engineering Chinese Academy of Sciences National Engineering Laboratory for Information Security Technologies Beijing China

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Corrigendum to “Fast and scalab.e lock methods for video coding on many-core architecture” [J. Vis. Commun. Image R. 25(7) (2014) 1758–1762]

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Journal of Visual Communication and Image Representation 2015年 27卷 57-57页

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Adaptive federated Kalman filtering attitude estimation algorithm for double-FOV star sensor

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Journal of Computational information Systems 2010年第10期6卷 3201-3208页

作者： Zhang, Hua Sang, Hongshi Shen, Xubang National Key Lab. of Science and Technology on Multispectral Information Processing Technologies Institute of PRAI Huazhong Univ. of Sci. and Technol. Wuhan 430074 China Xi'an Microelectronics Technology Institute Xi'an 710054 China

To get high precise attitude in high dynamic spacecraft, an adaptive federated Kalman filtering attitude estimation algorithm is proposed for a double-FOV(field of view) star sensor. To guarantee the robustness and fault-tolerance, the measurement error covariance is computed and updated in the federated filtering process. And the information sharing factors are determined adaptively based on the measurement error covariance. The simulation results show that the algorithm can yield high-accuracy attitudes in various situations. It is suitable to be used for high precise attitude determination while the spacecraft is in high dynamic maneuver stage. © 2010 Binary information Press October, 2010.

关键词： Kalman filters

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Online RFC-PRM method for infrared target tracking

Online RFC-PRM method for infrared target tracking

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MIPPR 2009 - Automatic Target Recognition and Image Analysis: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Zhou, Xiao Hu, Ruolan Xu, Yaming Zhang, Guilin State Key Lab. for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology WuHan 430074 China

ISBN: (纸本)9780819478061

A novel online tracking method is proposed based on the response of feature combination (RFC) and relative position map (RPM). First, large numbers of features around the target are achieved after some designed filtering, then a suboptimal feature combination obtained by a given feature selection criteria can be used for next frame. The distinction between the target and background is maximized in the result image. Based on this distinction the target can be segmented out easily. While around the target there always exists some similar regions and will be residue left after filtering. To depress these clutters, the position relationship of local maximal response points cased by the similar regions is recorded as RPM and compared to the last frame. At last, the new feature combination is updated based on the new background around the target. The experiment using small infrared target sequence with different background texture conditions demonstrates the robustness of the new method. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Target tracking

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Parameter estimation of rotational motion blur based on sinc function

Parameter estimation of rotational motion blur based on sinc...

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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Xu, Yaming Lu, Peng Zhou, Xiao Zhang, Guilin State Key Lab. for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

A novel approach is proposed to estimate the parameters of rotational motion blur. Firstly, the rotational blur was changed into translational motion blur by geometric transformation from Cartesian coordinate system to polar coordinate system. The characteristic of the translational motion blurred image in frequency domain was concluded. Then, the characteristic was further analyzed by a new definition of point spread function (PSF). Based on this, an object function was derived to describe the relationship between the parameter and the characteristic. At last, the statistical optimal parameter of the blur motion was obtained by traversing through the resolution space of the object function. The comparing experiment results demonstrate that the new method has better accuracy than traditional ones. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Image reconstruction

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Gravity gradient-terrain aided navigation based on particle filter

Gravity gradient-terrain aided navigation based on particle ...

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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Xiong, Ling Ma, Jie Tian, Jin-Wen State Key Lab. for Multi-spectral Information Processing Technologies Key Lab. of Education Ministry for Image Processing and Intelligence Control Huazhong University of Science and Technology Wuhan 430074 China College of Information Science and Engineering Wuhan University of Science and Technology Wuhan 430081 China

ISBN: (纸本)9780819478092

Based on Particle Filter, Gravity Gradient-Terrain aided position technology is proposed in this paper. With the sensitivity of gravity gradient to terrain, the gravity gradient reference map can be computed from the local terrain elevation data. The position can be actualized through matching the real-time measured gravity gradient data to the prepared gravity gradient reference map. The most widely used approximate filtering method is the extended Kaman filter (EKF). EKF is computationally simple but, the convergence of the state estimation for the position is not guaranteed. Particle filter (PF) makes use of the non-linear state and measurement functions, no linearization technology is needed. PF can assure the convergence of the state estimation which follows from the classical results on convergence of Bayesian estimators. Simulations have been done and Particle filter has been shown to be a superior alternative to the EKF in the gravity gradient-terrain matching navigation systems. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Extended Kalman filters

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Design and implementation of a scalab.e enhanced high-performance DMA architecture for complex SoC

Design and implementation of a scalable enhanced high-perfor...

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MIPPR 2009 - Medical Imaging, Parallel processing of Images, and Optimization Techniques: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Zhao, Hualong Sang, Hongshi Zhang, Tianxu Shen, Xubang State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478085

As the demand of higher image quality and greater processing capabilities are growing, obtaining higher data bandwidth for on-chip processing is becoming a more and more important issue. DMA (Direct Memory Access) component, as the key element in stream processing SoC (System on Chip) [1], should be deeply researched and designed to satisfy the high data bandwidth requirement of processing units. In this paper, we introduce a scalab.e high-performance DMA architecture for complex SoC to satisfy rigorous high sustained bandwidth and versatile functionality requirements. Several techniques and structures are proposed in this paper. An integrated verification environment is also built for our design to fully verify its functionality. And the performance improvement by using our architecture is analyzed. At the end of the paper, the post-simulation and tape-out results are provided. The whole implementation has been silicon proven to be functional and efficient. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： System-on-chip

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GEMI: A high performance and high flexibility memory interface architecture for complex embedded SOC

GEMI: A high performance and high flexibility memory interfa...

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International Conference on Computer Science and Software Engineering, CSSE 2008

作者： Hualong, Zhao Hongshi, Sang Tianxu, Zhang Yebin, Fan State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780769533360

Two of the most significant factors in the success of today's system-on-chip (SoC) designs are the ability to deliver efficient access to off-chip high speed memory and the ability to be compatible with several different interface-timings of several different sorts of memories. And the scheduling scheme of data streams for multi-master and multi-outstanding requests situation in complex SoC should be considered carefully, too. This paper introduces a novel general external memory interface (GEMI) architecture for the high performance and high flexibility memory interface. Several techniques and methods, i.e. data and command buffers based on asynchronous FIFO, optimized bank management, multi-port access scheduler, request reorder unit, are proposed in this paper for fulfilling the requirements mentioned above. Some techniques are specially proposed for data streams scheduling in complex SoC. At the end of the paper, the simulation and tape-out results are provided. The whole implementation of architecture is proven to be not only functional and efficient, but also flexible and reusable by simulation and silicon verification. © 2008 IEEE.

关键词： Scheduling

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Arithmetic of five-part of leukocytes based on image process

Arithmetic of five-part of leukocytes based on image process

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MIPPR 2007: Medical Imaging, Parallel processing of Images, and Optimization Techniques

作者： Yian, Li Guoyou, Wang Jianguo, Liu Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology State Key Lab. for Multispectral Information Processing Technologies Wuhan China

ISBN: (纸本)9780819469533

This paper apply computer image processing and pattern recognizition methods to solve the problem of auto classification and counting of leukocytes (white blood cell) in peripheral blood.. In this paper a new leukocyte arithmetic of five-part based on image process and pattern recognizition is presented, which relized auto classify of leukocyte. The first aim is detect the leukocytes. A major requirement of the whole system is to classify these leukocytes to 5 classes. This arithmetic bases on notability mechanism of eyes, process image by sequence, divides up leukocytes and pick up characters. Using the prior kwonledge of cells and image shape information, this arithmetic divides up the probable shape of Leukocyte first by a new method based on Chamfer and then gets the detail characters. It can reduce the mistake judge rate and the calculation greatly. It also has the learning fuction. This paper also presented a new measurement of karyon's shape which can provide more accurate information. This algorithm has great application value in clinical blood test.

关键词： Medical imaging

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