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International Symposium on Computational Intelligence and Design, ISCID

作者： Yaohua Xu Xiaoli Jiang Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China

ISBN: (纸本)9781467395885

In order to resolves the problem of occlusion in process of target tracking, an improved anti-occlusion tracking algorithm was proposed in this paper based on compressive particle filtering (CPF). Compressive sensing theory was introduced into particle filter (PF) framework to ensure the instantaneity of tracking. We apply the histogram with spatial information and sub-part matching ideas in the compressive particle filtering algorithm to enhance the robustness of tracking when the target was blocked by barriers. In this approach, we adopt different strategies to tracking target when the target was occluded or not. When the target was occluded, tracking it by compressive particle filtering algorithm based on sub-part matching and updating the target templates to fits the change of target appearance, otherwise, tracking it by the general compressive particle filtering algorithm. This approach bring about better robustness and tracking speed compared with the particle filtering algorithm and compressive tracking algorithm.

关键词： Target tracking Filtering Histograms Color signal processing algorithms Compressed sensing Robustness

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An improved precoding of Approximative Matrix Inverse Computations based on norm minimization algorithm in massive MIMO system

An improved precoding of Approximative Matrix Inverse Comput...

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IEEE International Conference on Progress in Informatics and computing (PIC)

作者： Hongliu Tu Yanjun Hu Yaohua Xu Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China

In massive multiple-input multiple-output (MIMO) system, scaling up the antennas of base station (BS) has a clear benefit on sum rate and energy efficiency, but the signal processing complexity can be very high and many algorithms cannot be implemented in practice for high hardware cost. Approximative Matrix Inverse Computations (AMIC) algorithm is a kind of low-complexity precoding for large multiuser MIMO systems, but the Bite Error Rate (BER) performance is shown to be not better than the classical MMSE precoding. To improve the BER performance of AMIC algorithm, in this paper, we use norm minimization algorithm to change the coefficient of the precoding matrix to improve the BER performance of AMIC algorithm. It can verify that the proposed algorithm can achieve better BER performance than the AMIC algorithm by using only a limited number of Neumann series iterations, and keep lower complexity. The proposed scheme is a compromise solution between complexity and BER performance.

关键词： Approximation algorithms Antennas Bit error rate Precoding signal to noise ratio

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Speech intelligibility enhancement using convolutive non-negative matrix factorization with noise prior

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2014年第7期9卷 73-86页

作者： Zhou, Jian Fang, Xianyong Tao, Liang Zhao, Li Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University 230601 Hefei China Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University 210096 Nanjing China

We propose a convolutive non-negative matrix factorization method to improve the intelligibility of speech signal in the context of adverse noise environment. The noise bases are prior learned with Non-negative Matrix Factorization (NMF) algorithm. A modified convolutive NMF with sparse constraint is then derived to extract speech bases from noisy speech. The divergence function is selected as an objective function to get a multiplicative update of speech base and its corresponding weight. The weights of prior learned noise bases are also updated in the update rule. Listening experiments are conducted to assess the intelligibility performance of speech synthesized using the proposed algorithm. Experimental results indicate that the proposed method is very effective to improve the intelligibility of the noisy speech in various noise contexts and it outperforms conventional algorithms. © 2014 SERSC.

关键词： Non-negative matrix factorization

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Discovery of ovarian cancer candidate genes using protein interaction information 11th

Discovery of ovarian cancer candidate genes using protein in...

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11th International Conference on intelligent computing, ICIC 2015

作者： Zhang, Di Wang, Qingbao Zhu, RongRong Li, Hai-Tao Zheng, Chun-Hou Xia, Junfeng Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Institute of Health Sciences School of Computer Science and Technology Anhui University Hefei Anhui230039 China Clinical Laboratory Center The First Affiliated Hospital Anhui University of Traditional Chinese Medicine Hefei Anhui230012 China College of Electrical Engineering and Automation Anhui University Hefei Anhui230601 China

ISBN: (纸本)9783319221854

Ovarian cancer (OVC) is one of the deadliest cancers in women. At present, effective clinical therapy for OVC is still limited. We adopted a computational method to identify OVC candidate genes based on subnetwork extraction algorithm in the protein interaction network. Of the final identified five genes, MSH3 and PIK3R3 genes have been reported to be implicated in OVC tumorigenesis, indicating that the method is effective, whereas the other three genes (MAPK8IP1, PICK1, and IQGAP3) might have potential roles in OVC development. The results provided a novel insight into identifying the OVC-related genes and exploring new methods for OVC therapy. © Springer International Publishing Switzerland 2015.

关键词： Proteins

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An improved entity similarity measurement method

Telkomnika (Telecommunication Computing Electronics and Cont...

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Telkomnika (Telecommunication computing Electronics and Control) 2014年第4期12卷 1017-1022页

作者： Lv, Gang Zheng, Cheng Chen, Sheng-Bing Key of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui China Key Laboratory of Network and Intelligent Information Processing Hefei University Hefei Anhui China

To facilitate the integration of learning resources categorized under different ontology representations, the techniques of ontology mapping can be applied. Though many algorithms and systems have been proposed for ontology mapping, they do not have an automatic weighting strategy on class features to automate the ontology mapping process. A novel method of computing the feature weights is proposed. By feature semantic analysis, the different entities similarity calculation model and weight calculation model were defined. The results show that it makes the ontology mapping process more automatic while retaining satisfying accuracy. Improve ontology mapping effectiveness.

关键词： Semantics

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An Improved Precoding of Approximative Matrix Inverse Computations Based on Norm Minimization Algorithm in Massive MIMO System

An Improved Precoding of Approximative Matrix Inverse Comput...

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2015 IEEE International Conference on Progress in Informatics and computing(PIC 2015)

作者： Hongliu Tu Yanjun Hu Yaohua Xu Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences

In massive multiple-input multiple-output（MIMO） system, scaling up the antennas of base station（BS） has a clear benefit on sum rate and energy efficiency, but the signal processing complexity can be very high and many algorithms cannot be implemented in practice for high hardware cost. Approximati ve Matrix Inverse Computations（AMIC） algorithm is a kind of lowcomplexity precoding for large multiuser MIMO systems, but the Bite Error Rate（BER） performance is shown to be not better than the classical MMSE precoding. To improve the BER performance of AMIC algorithm, in this paper, we use norm minimization algorithm to change the coefficient of the precoding matrix to improve the BER performance of AMIC algorithm. It can verify that the proposed algorithm can achieve better BER performance than the AMIC algorithm by using only a limited number of Neumann series iterations, and keep lower complexity. The proposed scheme is a compromise solution between complexity and BER performance.

关键词： Massive MIMO linear precoding algorithm approximative matrix inverse norm minimization

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Calculating Nonlocal Optical Properties of Metallic Nanowires with FDTD Method

Calculating Nonlocal Optical Properties of Metallic Nanowire...

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Asia-Pacific Microwave Conference

作者： Xiang Li Ming Fang Jie Xu Zhixiang Huang Tailong Xu Xianliang Wu Key Laboratory of Intelligent Computing and Signal Processing Anhui University

ISBN: (纸本)9781479987689

We present a FDTD method which can be used to calculate the optical properties of nanostructures with nonlocal effect. The effect can be described by a spatially nonlocal dielectric function with a Drude plus two Lorentz terms model. We compared the optical properties of isolated nanowires with different radii. According to the extinction spectra, we can determine in which length scale the nonlocal effects become remarkable and should be taken into consideration in real applications. At the same time, we verify the conclusions by the transmission of nanostructures. Our method and related results can be used as a tool and reference in the design of realistic sub-wavelength devices.

关键词： Decision support systems Finite difference methods Dielectrics Nanowires

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Application of high-order symplectic FDTD scheme to typical quantum devices

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Guangzi Xuebao/Acta Photonica Sinica 2015年第4期44卷 0419002-1-0419002-1-0419002-7页

作者： Wang, Li-Hua Huang, Zhi-Xiang Kuang, Xiao-Jing Wu, Xian-Liang Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei230039 China

Using symplectic integrators and staggered spatial differences to establish a new high-order Symplectic Finite-Difference Time-Domain scheme (SFDTD(4, 4)) for solving time-dependent Schrödinger equation. The fourth-order accuracy difference scheme for the second derivative of the space segment is to obtain the time evolution of the multi-dimensional system and then introducing the fourth order symplectic integrator for discrete;the numerical stability is obtained with SFDTD(4, 4) scheme, one-or multi-dimensional stability conditions for Schrödinger equation with nonzero potential energy are also derived;the perfect absorbing boundary condition of SFDTD(4, 4) scheme for quantum devices is achieved by the concept of stretching coordinate. The simulated results of a one-dimensional quantum well and metal MOSFET confirm the preference of the SFDTD(4, 4) scheme over the traditional finite-difference time-domain scheme. The SFDTD(4, 4) scheme, which is high-order-accurate and energy conserving, is well suited for long term *** results can be used as a necessary reference for the design of new quantum devices. ©, 2015, Chinese Optical Society. All right reserved.

关键词： Semiconductor quantum wells

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Phase retrieval from coded diffraction patterns

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Guangdianzi Jiguang/Journal of Optoelectronics Laser 2015年第6期26卷 1194-1199页

作者： Zhang, Fen Shen, Chuan Zhang, Quan-Bing Liu, Kai-Feng Cheng, Hong Wei, Sui Key Laboratory of Intelligent Computing & Signal Processing of Anhui Province Anhui University Hefei China

The classical iterative phase retrieval method has the disadvantages of poor anti-noise performance, and can not converge to the global optimal solution. The optimization of phase retrieval technology via PhaseCut (PC) transforms the phase retrieval problem into quadratic constrained convex programming problem, and gets the global optimal solution up to global phase. Some more structured and less random ternary masks and octonary masks are used to code the signal of interest to acquire diffraction patterns which can recover the missing phase information by solving PhaseCut. Simulations are firstly performed to test the one dimensional complex signal and compare the success rates of reconstruction using different masks. Secondly, the reconstruction results of two dimensional molecular images are compared for different masks. The results show that the method can obtain better reconstruction results than the traditional method which is based on binary masks. Moreover, the recovered phase distributions are loaded to the optical reconstruction system based on liquid crystal on silicon (LCOS). The diffraction pattern of real experiment proves the effectiveness of the proposed method. ©, 2015, Board of Optronics Lasers. All right reserved.

关键词： Liquid crystals

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Energy efficient feedback design for coordinated multi-point transmission in downlink

International Journal of Signal Processing, Image Processing...

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International Journal of signal processing, Image processing and Pattern Recognition 2015年第6期8卷 155-166页

作者： Wang, Yi Hu, Yanjun Zhou, Yiqing Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China School of Electronic Science and Technology Anhui University Hefei China Institute of Computing Technology Chinese Academy of Sciences Beijing China

Coordinated multi-point (CoMP) has been raised to increase the average cell throughput and the cell-edge user throughput. However, the energy consumption of mobile stations (MSs) is a key problem restricting the wide application of CoMP systems. Considering the energy consumption of feeding back channel state information (CSI) by MSs and the influence of CSI accuracy on the throughput of system, it is proposed to measure the relationship between feedback energy consumption and throughput with energy efficiency feedback utility (EEFU) function which can adapt to different application scenes by adjusting utilization coefficient. The feedback utilization of two precoders in CoMP systems is analyzed respectively, including the optimization allocation of feedback bits with utility function. The complete EEFU optimized expression and the optimizing flow path satisfying the actual application demands of CoMP systems are then derived. The simulation results illustrate the practicability and necessity of the EEFU function and verify the performance of EEFU with different precoders. © 2015 SERSC.

关键词： Energy efficiency

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