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22nd International Conference on MultiMedia Modeling, MMM 2016

作者： Zhou, Qianlan Zhang, Jing Tian, Qi Zhuo, Li Geng, Wenhao Signal and Information Processing Laboratory Beijing University of Technology 100 Ping Le Yuan Chao Yang District Beijing100124 China Department of Computer Science University of Texas at San Antonio One UTSA Circle San AntonioTX 78249 United States Collaborative Innovation Center of Electric Vehicles in Beijing 100 Ping Le Yuan Chao Yang District Beijing100124 China

ISBN: (纸本)9783319276731

Pixel Purity Index (PPI) is one of effective endmember extraction algorithms, which is a processing technique designed to determine which pixels are the most spectrally unique or pure. This paper proposes an automatic endmember extraction using pixel purity index for hyperspectral imagery. In computing the PPI, projection vectors are generated by applying the Givens rotation firstly. Then, pixels are projected onto the projection vectors. Next, the pixels located at the extreme positions are recorded. At last, the PPI score can be obtained. In endmember extraction, the number of endmembers is determined by using the Noise Subspace Projection (NSP) method. Hyperspectral image dimension is reduced by improving the Noise Covariance Matrix (NCM) estimation for Minimum Noise Fraction (MNF) transformation. The endmembers can be extracted with the improved pixel purity index. Compared with traditional APPI algorithm, the experimental results show that the proposed algorithm can obtain more endmembers as well as improve the accuracy of endmembers. © Springer International Publishing Switzerland 2016.

关键词： Pixels

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Deterministic realization of collective measurements via photonic quantum walks

arXiv

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arXiv 2017年

作者： Hou, Zhibo Tang, Jun-Feng Shang, Jiangwei Zhu, Huangjun Li, Jian Yuan, Yuan Wu, Kang-Da Xiang, Guo-Yong Li, Chuan-Feng Guo, Guang-Can Key Laboratory of Quantum Information University of Science and Technology of China CAS Hefei230026 China Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei230026 China Naturwissenschaftlich-Technische Fakultät Universität Siegen Siegen57068 Germany Beijing Key Laboratory of Nanophotonics Ultrafine Optoelectronic Systems School of Physics Beijing Institute of Technology Beijing100081 China Institute for Theoretical Physics University of Cologne Cologne50937 Germany Department of Physics Center for Field Theory and Particle Physics Fudan University Shanghai200433 China Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China State Key Laboratory of Surface Physics Fudan University Shanghai200433 China Collaborative Innovation Center of Advanced Microstructures Nanjing210093 China Institute of Signal Processing Transmission Nanjing University of Posts and Telecommunications Nanjing210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing210003 China

Collective measurements on identically prepared quantum systems can extract more information than local measurements, thereby enhancing information-processing efficiency. Although this nonclassical phenomenon has been known for two decades, it has remained a challenging task to demonstrate the advantage of collective measurements in experiments. Here we introduce a general recipe for performing deterministic collective measurements on two identically prepared qubits based on quantum walks. Using photonic quantum walks, we realize experimentally an optimized collective measurement with fidelity 0.9946 without post selection. As an application, we achieve the highest tomographic efficiency in qubit state tomography to date. Our work offers an effective recipe for beating the precision limit of local measurements in quantum state tomography and metrology. In addition, our study opens an avenue for harvesting the power of collective measurements in quantum information processing and for exploring the intriguing physics behind this power. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum optics

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Corrections to "Efficient Adaptive Turbo Equalization for Multiple-Input–Multiple-Output Underwater Acoustic Communications" [W. Duan, J. Tao, and Y. Rosa Zheng, IEEE J. Ocean. Eng ., 2017, DOI: 10.1109/JOE.2017.2707285]

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IEEE Journal of Oceanic Engineering 2017年第3期42卷 752-752页

作者： W. Duan J. Tao Y. R. Zheng Qualcomm Technologies Inc. San Diego CA USA Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University Nanjing China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China

Equation In [1], (6) of the above named work is corrected.

关键词： MIMO Adaptive equalizers Underwater communication Underwater acoustics Least mean squares methods

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Space debris detection performance analysis of space-based MMW radar

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Journal of Beijing Institute of technology (English Edition) 2015年 24卷 110-115页

作者： Dang, Tong-Xin Peng, Hua-Feng Wang, Feng Zhao, Yong-Jun National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu610041 China Zhengzhou Information Science and Technology Institute Zhengzhou450002 China

A numerical performance analysis method with real space objects' TLE data to evaluate the detection performance of space-based radar is delivered. Firstly, two radar models are built in Satellite Tool Kit (STK) to simulate phased array radar and CW fence radar, some performance indexes including detection ratio, mean detection number per day and mean detection duration etc for evaluation are defined too. After definition of simulation scenario, a series of simulations in STK with real space objects' TLE data are made and calculation results are analyzed in the paper. The selected performance indexes are calculated according to different radar models, radar parameters, and orbit elements. Finally, derived conclusions show that optimization must be made in space-based MMW radar space objects detection system design for better performance. The method and conclusion will be useful for space-based radar system design. © 2015 Beijing Institute of technology.

关键词： Space debris

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Corrigendum to "syndetically proximal Pairs" [J. Math. Anal. Appl. 379 (2011) 656-663]

arXiv

引用

arXiv 2017年

作者： Li, Jian Moothathu, T.K. Subrahmonian Oprocha, Piotr Department of Mathematics Shantou University Shantou Guangdong515063 China Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques Shantou University Shantou Guangdong515063 China School of Mathematics and Statistics University of Hyderabad Hyderabad500 046 India AGH University of Science and Technology Faculty of Applied Mathematics AL. Mickiewicza 30 KrakÃ³ W30-059 Poland National Supercomputing Centre IT4 Innovations Division of the University of Ostrava Institute for Research and Applications of Fuzzy Modeling 30. Dubna 22 Ostrava70103 Czech Republic

We give a counterexample to Theorem 9 in "Syndetically proximal pairs"[J. Math. Anal. Appl. 379 (2011) 656-663]. We also provide sufficient conditions for the conclusion of Theorem 9 to hold. Copyright ©... 详细信息

关键词： Optimization

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On the Ergodic Capacity of Multiple Antenna Cognitive Satellite Terrestrial Networks

On the Ergodic Capacity of Multiple Antenna Cognitive Satell...

引用

Ad-Hoc and Sensor Networks Symposium

作者： Kang An Min Lin Tao Liang Jian Ouyang Wei-Ping Zhu College of Communications Engineering PLA University of Science and Technology National Mobile Communications Research Laboratory Southeast University Nanjing Institute of Telecommunication Technology Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Department of Electrical and Computer Engineering Concordia University

ISBN: (纸本)9781479966653

The integration of cognitive radio (CR) into satellite networks is recognized as an effective strategy to enhance the efficiency of radio spectrum. This paper investigates the ergodic capacity of a multiple antenna cognitive satellite terrestrial network, where the secondary terrestrial system can coexist with the primary satellite system as long as the interference imposed from the secondary user (SU) to the primary user (PU) is below a predefined threshold. Specifically, the Meijer-G function based analytical expression for the ergodic capacity of the secondary network is derived, which not only provides an efficient means to evaluate the system performance but also characterize the impact of various channel parameters on the network. Finally, simulation results are provided to demonstrate the validity of the theoretical analysis.

关键词： Cognitive satellite terrestrial network Multiple antenna Ergodic capacity

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An image compression method based on block truncation coding and linear regression

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Journal of Information Hiding and Multimedia signal processing 2016年第1期7卷 198-215页

作者： Lyu, Wan-Li Chang, Chin-Chen Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China Department of Information Engineering and Computer Science Feng Chia University 100 Wenhwa Rd Seatwen Taichung40724 Taiwan Department of Computer Science and Information Engineering Asia University Taichung41354 Taiwan

This paper describes an image compression method based on block truncation coding (BTC) and linear regression coding (LRC) hybrid strategy. BTC is simple and easy to use, but only two representative values can not adequately represent the visual feature of image blocks. However, LRC can obtain different values of points with the line function by recording the coefficient of the regression line while the data distribution shows a linear relationship. The proposed method designs a hybrid strategy to combine the advantages of the two methods to improve image quality. In the paper, first, models are designed to rearrange the data of image blocks to satisfy a linear distribution, and then these models are used to code the image blocks. The experimental results indicated that the proposed method is superior to the BTC scheme in terms of image quality, and it can be used for image compression applications. © 2016.

关键词： Linear regression

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CFAR detection for the complex approximated message passing reconstructed SAR image

CFAR detection for the complex approximated message passing ...

引用

International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa)

作者： Hui Bi Bingchen Zhang Xiao Xiang Zhu Wen Hong Yirong Wu Science and Technology on Microwave Imaging Laboratory Chinese Academy of Sciences (IECAS) Beijing China Remote Sensing Technology Institute (IMF) German Aerospace Center (DLR) Oberpfaffenhofen Germany Signal Processing in Earth Observation (SiPEO) Technical University of Munich (TUM) Munich Germany

ISBN: (纸本)9781509029211

Complex approximated message passing (CAMP) is an iterative recovery algorithm for L1 regularization reconstruction which can achieve sparse and non-sparse estimations of original signal simultaneously. This paper demonstrates a CAMP-based synthetic aperture radar (SAR) image regularization reconstruction method along with a constant false alarm rate (CFAR) detection via the output non-sparse image of CAMP iterative algorithm. Compared with iterative thresholding algorithm (ITA) and orthogonal matching pursuit (OMP), the conventional L 1 regularization reconstruction techniques, it not only can improve SAR image performance, but also its non-sparse estimation retains a similar background statistical distribution as conventional matched filtering (MF)-based techniques, which can be used for CFAR detection efficiently. Simulated and experimental results validate the effectiveness of the designed CFAR detector for the CAMP reconstructed SAR image.

关键词： Image reconstruction Synthetic aperture radar Clutter Radar imaging Radar polarimetry signal processing algorithms

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Scheme for realizing passive quantum key distribution with heralded single-photon sources

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Physical Review A 2016年第3期93卷 032312-032312页

作者： Qin Wang Chun-Hui Zhang Xiang-Bin Wang Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China Key Laboratory of Quantum Information University of Science and Technology of China Hefei 230026 China Department of Physics and State Key Laboratory of Low Dimensional Quantum Physics Tsinghua University Beijing 100084 China Jinan Institute of Quantum Technology Shandong Academy of Information Technology Jinan China

We present a scheme for realizing passive quantum key distribution with heralded single-photon sources. In this scheme, the idler light from the parametric down-conversion process is split into two parts and sent into two local detectors individually. Then all the clicking and nonclicking events are used to herald the arrival and nonarrival of the signal light. As a result, a precise estimation of the behavior of the single-photon pulses can be achieved without changing the light intensity. Furthermore, we compare our scheme with other existing methods with the Bennett-Brassard 1984 (BB84) protocol through numerical simulations. Our simulations demonstrate that the performance of our scheme can greatly overcome other existing practical methods and approach very close to the asymptotic case of using infinite-decoy-state methods.

关键词： Quantum cryptography

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Dynamic clustering algorithm in mobile wireless sensor network

引用

Journal of Information and Computational science 2015年第13期12卷 4897-4907页

作者： Wang, Bingting Liang, Hui Lin, Qibin Zhang, Yangyi Wang, Yujie Hong, Peilin Hu, Yanjun Department of Electronic and Electrical Engineering Chuzhou University Chuzhou China Department of Electronic Engineering and Information Science University of Science and Technology of China Hefei China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

In this paper, we analyzed the blindness of traditional clustering algorithms, which select cluster head based on residual energy. Then we proposed the Dynamic Clustering Algorithm (DCA) in Mobile Wireless Sensor Network, which takes into consideration residual buffer level when selecting cluster heads and allots time slots dynamically base on the occupied buffer level. We analyzed the energy model of the proposed DCA algorithm and calculated the optimal distance between cluster heads. Simulation results show that our DCA clustering algorithm has good performances in terms of residual energy, data transmission and network lifetime by comparing it with LEACH and LEACH-CI. ©, 2015, Journal of Information and Computational science. All right reserved.

关键词： Clustering algorithms

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