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A novel STAP method for the detection of fast air moving targets from high speed platform

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Science china(information Sciences) 2012年第6期55卷 1259-1269页

作者： WU RenBiao 1,2,JIA QiongQiong 1 & LI Hai 1 1 Tianjin Key laboratory for Advanced Signal Processing,Civil Aviation university of china,Tianjin 300300,china 2 intelligent information institute of atr lab,shenzhen university,shenzhen 518060,china Tianjin Key laboratory for Advanced Signal Processing Civil Aviation University of China intelligent information institute of atr lab Shenzhen University

Space-time adaptive processing (STAP) is an effective method for detecting moving target in airborne/spaceborne ***,the detection of fast air moving targets from high speed platform is challenged by the range walk of both the clutter and moving *** is well known that keystone formatting can be used to compensate for the range walk of multiple moving targets simultaneously without using the knowledge of the motion ***,in the presence of serious Doppler ambiguity of fast air moving targets,distribution of the clutter will be affected by the keystone formatting matched to the ambiguity number of targets,and as a result the STAP performance will *** this paper,a novel STAP method is proposed for the detection of fast air moving targets from high speed platform,which can deal with the range walk of both clutter and *** of the new method is verified via simulation examples.

关键词： airborne/spaceborne radar keystone formatting space-time adaptive processing (STAP) moving target detection

Multispectral image edge detection via Clifford gradient

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Science china(information Sciences) 2012年第2期55卷 260-269页

作者： XU Chen2,LIU Hui1,CAO WenMing1 & FENG JiQiang2 1College of information Engineering,shenzhen university,shenzhen 518060,china 2institute of intelligent Computing Science,shenzhen university,shenzhen 518060,china College of information Engineering Shenzhen University institute of intelligent Computing Science Shenzhen University

The edge detection of a multispectral image with a mass of image information is theoretically expected to give a more accurate *** algebra is more suitable for processing multidimensional data and expressing the data association than general ***,the basic properties of Clifford algebra are ***,the Clifford algebra description of a multispectral image is ***,a novel multispectral image edge detection algorithm is proposed in terms of the Clifford *** the first two experiments,comparison of the detail achieved by the new algorithm with that from the maximal entropy edge detection algorithm reveals that the edge detection based on Clifford gradient is better at retaining and identifying edge information of the multispectral image than the maximal entropy edge detection *** experiments using tuberculosis CT image show that the new algorithm has clinical value in reducing risk of misdiagnosis.

关键词： multispectral image edge detection Clifford gradient

THz-TDS signal analysis and substance identification via the conformal split

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Science china(information Sciences) 2012年第1期55卷 49-63页

作者： XIE WeiXin1,2,LI Jing1,2&PEI JiHong2 1School of Electronic Engineering,Xidian university,Xi'an 710071,china 2intelligent information institute,shenzhen university,shenzhen 518060,china School of Electronic Engineering Xidian University intelligent information institute Shenzhen University

A terahertz time-domain spectroscopy(THz-TDS)imaging system can obtain high-dimensional signals with substance fingerprint *** introducing geometric algebra,a novel signal analysis approach to THz-TDS signals is developed based on an optical physical *** this approach,signals are represented with vectors in the high-dimensional real vector *** distribution properties and algebraic relationships of THz-TDS signals are *** is proved that every complex refractive index of substances relates to a unique 2-blade,the vectors corresponding to the samples of the same substance are collinear and belong to the intrinsic 2-blade of the *** decomposed through the conformal split with respect to a 2-blade,THz-TDS signals of high dimensionality can be related to vectors in a 2-dimensional *** on the conformal split properties we deduced,two criteria for substance identification on the basis of THz-TDS signals are ***,a novel substance identification method via the conformal split is *** the method,the 2-blade related to each "known" substance is calculated with two vectors corresponding to THz-TDS signals measured from samples of the substance but with dierent *** the conformal split with respect to those 2-blades,an identified vector corresponding to a THz-TDS signal is linearly related to the vector in a 2-dimensional *** substance of a sample can be identified using criteria on the projected vectors in the *** method can contribute to accurate classification and ***,two experiments are presented that show the feasibility and accuracy of this method.

关键词： terahertz time-domain spectroscopy substance identification geometric algebra conformal split

Positioning localities from spatial assertions based on Voronoi neighboring

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Science china(Technological Sciences) 2010年第S1期53卷 143-149页

作者： GONG YongXi 1,2,3,LI GuiCai 1,LIU Yu 2 & YANG Jian 1 1 shenzhen Key lab of Recycling Economy,Peking university shenzhen Graduate School,shenzhen 518055,china 2institute of Remote Sensing and Geographical information Systems,Peking university,Beijing 100871,china 3College of Urban and Environmental Science,Peking university,Beijing 100871,china shenzhen Key lab of Recycling Economy Peking University Shenzhen Graduate School Shenzhen China institute of Remote Sensing and Geographical information Systems Peking University Beijing China College of Urban and Environmental Science Peking University Beijing China

With the rapid development of Internet,much spatial information contained in non-structured or semi-structured documents is available on the World Wide *** such documents,localities are always textually described using spatial relationships and named places,instead of numerical ***,extracting positional information from locality descriptions is an important *** this paper,we bridge two aspects of locality descriptions,namely generating locality descriptions and positioning localities,and provide a method to compute probability density according to the selection probability of a reference object to describe the position of the target *** operation on uncertainty field is used to deal with locality description involving multiple reference *** metrics are introduced to measure the results of positioning *** choose the mixed selection probability function based on Euclidean distance and Voronoi stolen-area to compute probability density ***,we use three cases to demonstrate the proposed methods.

关键词： geographic information science positioning locality Voronoi neighboring probability density function

维普期刊数据库

DWT BASED HMM FOR FACE RECOGNITION

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Journal of Electronics(china) 2007年第6期24卷 835-837页

作者： Shen Linlin Ji Zhen Bai Li Xu Chen TI DSPs lab Faculty of Information Engineering Shenzhen University Shenzhen 518050 China School of Computer Science ＆ information Technology University of Nottingham NG8 1BB UK institute of intelligent Computing Science Shenzhen University Shenzhen 518060 China

A novel Discrete Wavelet Transform (DWT) based Hidden Markov Module (HMM) for face recognition is presented in this letter. To improve the accuracy of HMM based face recognition algorithm, DWT is used to replace Discrete Cosine Transform (DCT) for observation sequence ex- traction. Extensive experiments are conducted on two public databases and the results show that the proposed method can improve the accuracy significantly, especially when the face database is large and only few training images are available.

关键词： Discrete Wavelet Transform (DWT) Hidden Markov Model (HMM) Face recognition

维普期刊数据库

Simulation study of phase retrieval for hard X-ray in-line phase contrast imaging

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Science china(Physics,Mechanics & Astronomy) 2005年第4期48卷 450-458页

作者： YU Bin1,2, PENG Xiang1,2, TIAN Jindong1, NIU Hanben1, DIAO Luhong3 & LI Hua3 1. Key laboratory of Optoelectronic Devices and Systems of Ministry of Education, institute of Optoelec- tronics, shenzhen university, shenzhen 518060, china 2. State Key laboratory of Precision Measuring Technology and Instruments, Tianjin university, Tianjin 300072,china 3. Key laboratory of intelligent information Processing, institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080,china Key laboratory of Optoelectronic Devices and Systems of Ministry of Education Institute of Optoelectronics Shenzhen University Shenzhen China State Key laboratory of Precision Measuring Technology and Instruments Tianjin University Tianjin China Key laboratory of intelligent information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

Two algorithms for the phase retrieval of hard X-ray in-line phase contrast imaging are presented. One is referred to as Iterative Angular Spectrum Algorithm (IASA) and the other is a hybrid algorithm that combines IASA with TIE (transport of intensity equation). The calculations of the algorithms are based on free space propagation of the angular spectrum. The new approaches are demonstrated with numerical simulations. Comparisons with other phase retrieval algorithms are also performed. It is shown that the phase retrieval method combining the IASA and TIE is a promising technique for the application of hard X-ray phase contrast imaging.

关键词： X-ray optics, phase contrast imaging, phase retrieval, angular spectrum, hard X-ray.

维普期刊数据库

Theory and verification of operator design methodology

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Science china(information Sciences) 2012年第2期55卷 480-490页

作者： HU ZiYi1,ZHAO Yong1,WANG XinAn1,HUANG Ru2,WANG Teng1 & ZHANG Xing2 1Key lab of Integrated Microsystem Science and Engineering Applications,Peking university shenzhen Graduate School,shenzhen 518055,china 2institute of Microelectronics,Peking university,Beijing 100871,china Key lab of Integrated Microsystem Science and Engineering Applications Peking University Shenzhen Graduate School Shenzhen China institute of Microelectronics Peking University Beijing China

Non-recurring-engineering(NRE)and time-to-market play an increasingly important role in the field of IC ***,with the continuous development of IC manufacturing technology,it is necessary to propose a novel design methodology to shorten design cycle and enhance design *** this paper,operator design methodology(ODM)is presented and an H.264 encoder is implemented as a *** to the flow of ODM,the register transfer level(RTL)design of H.264 encoder has been accomplished with 15 man-months,which is lower than the average 19 man-months in the field of traditional application specific integrated circuit(ASIC)***,with the advantage of operator design library,the design has a comparable performance with other ASIC *** obtained design can support a real-time video encoding of 720p at 60 frames per second or 1080p at 30 frames per second,working at 167 MHz with SMIC 0.13 μm CMOS *** results provide good evidence for the practicability and efficiency of ODM.

关键词： operator design methodology H.264 encoder integrated circuit hardware

Memetic computation based on regulation between neural and immune systems: the framework and a case study

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Science china(information Sciences) 2010年第8期53卷 1519-1527页

作者： GONG MaoGuo , JIAO LiCheng, LIU Fang & YANG Jie Key lab of intelligent Perception and Image Understanding of Ministry of Education of china, institute of intelligent information Processing, Xidian university, Xi’an 710071, china Key lab of intelligent Perception and Image Understanding of Ministry of Education of china Institute of Intelligent Information Processing Xidian University

Lamarckian learning has been introduced into evolutionary computation to enhance the ability of local search. The relevant research topic, memetic computation, has received significant amount of interest. In this study, a novel memetic computational framework is proposed by simulating the integrated regulation between neural and immune systems. The Lamarckian learning strategy of simulating the unidirectional regulation of neural system on immune system is designed. Consequently, an immune memetic algorithm based on the Lamarckian learning is proposed for numerical optimization. The proposed algorithm combines the advantages of immune algorithms and mathematical programming, and performs well in both global and local search. The simulation results based on ten low-dimensional and ten high-dimensional benchmark problems show that the immune memetic algorithm outperforms the basic genetic algorithm-based memetic algorithm in solving most of the test problems.

关键词： memetic computation artificial immune system Lamarckian learning genetic algorithm numerical optimization

Binary particle swarm optimization with multiple evolutionary strategies

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Science china(information Sciences) 2012年第11期55卷 2485-2494页

作者： ZHAO Jing1,HAN ChongZhao1 & WEI Bin2 1Ministry of Education Key lab For intelligent Networks and Network Security,State Key laboratory for Manufacturing Systems Engineering,institute of Integrated Automation,School of Electronics and information Engineering,Xi'an Jiaotong university,Xi'an 710049,china 2institute of System Engineering,School of Electronics and information Engineering,Xi'an Jiaotong university,Xi'an 710049,china Ministry of Education Key lab For intelligent Networks and Network Security State Key Laboratory for Manufacturing Systems Engineering Institute of Integrated Automation School of Electronics and Information Engineering Xi’an Jiaotong University Xi’an China institute of System Engineering School of Electronics and Information Engineering Xi’an Jiaotong University Xi’an China

This paper introduces a novel variation of binary particle swarm optimization(BPSO) algorithm and a further extension to improve its ***,mimicking the behaviors of some creatures group,multiple evolutionary strategies BPSO(MBPSO) is introduced which takes different evolutionary strategies for various particles according to their ***,on the basis of MBPSO,a new strategy is discussed to improve the performance of the MBPSO(M2BPSO) which adopts the concept of the mutation operator aiming to overcome the premature convergence and slow convergent speed during the later stages of the *** proposed two algorithms are tested on seven benchmark functions and their results are compared with those obtained by other *** results show that our methods outperform the other algorithms.

关键词： binary particle swarm optimizer evolutionary strategies swarm intelligence