Xuefan He

Beijing Aerospace Flight Control Center

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Junan Yang

National University of Defense Technology

Yi Han

University of Electronic Science and Technology of China

Ying Tan

Peking University

Huayan Sun

Space Engineering University

Yunxiao Jiang

North China Electric Power University

Xiaojun Zhang

Anhui Business College

Lin Li

University of Manchester

Juntao Jiang

Y. Sun

Xiamen University

Cooperative Institutions

University of Electronic Science and Technology of China

North China Electric Power University

Wuhan University

Beijing Aerospace Flight Control Center

China Academy Of Machinery Science & Technology (China)

PLA Electronic Engineering Institute

Fujian Agriculture and Forestry University

Nanjing Institute of Technology

China Electric Power Research Institute

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

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Modeling the space-based optical imaging of complex space target based on the pixel method

Optik (2015)

Yi Han Lin Li Huayan Sun Juntao Jiang Xuefan He

OpenGL

10.1016/j.ijleo.2015.04.034

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Citations (7)

Research and Application of Malicious Code Detecting Platform in Intranet

Xiaojun Zhang Y. Sun Xuefan He

Intranet and extranet information interactions are increased constantly aiming at IP network equipment interconnection, which become actual conditions of more and more complex uncertain systems.A malicious code behavior detecting platform is designed and realized by combining with the characteristics of network attack, attack methods and principles used by the malicious code.Automatic flow of analyzing malicious codes is realized.It is preliminarily applied in internal IP network.Malicious code detecting platform provides strong guarantee and support for stable, efficient and safe operation of space detection task networks, which provides reference for maintenance personnel to implement emergency disposal quickly and properly.

Code (set theory)

10.2991/iccia-17.2017.66

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A Fast Blind Deconvolution Algorithm Using Decorrelation and Block Matrix

Junan Yang Xuefan He Yunxiao Jiang

In order to alleviate the shortcomings of most blind deconvolution algorithms, this paper proposes an improved fast algorithm for blind deconvolution based on decorrelation technique and broadband block matrix. Althougth the original algorithm proposed in ref (H. Buchner et al., 2003) can overcome the shortcomings of current blind deconvolution algorithms, but it has a constraint that the number of the source signals must be less than that of the channels'. The improved algorithm deletes this constraint by using decorrelation technique. Besides, the improved algorithm raises the separation speed in terms of improving the computing methods of output signals matrix. Simulation results demonstrate the validation and fast separation of the improved algorithm.

Decorrelation

Matrix (chemical analysis)

10.1109/icnc.2007.21

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An improved fast blind deconvolution algorithm based on decorrelation and block matrix1

Journal of Electronics (China) (2008)

Junan Yang Xuefan He Ying Tan

Decorrelation

Matrix (chemical analysis)

SIGNAL (programming language)

10.1007/s11767-007-0081-5

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