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IEEE International SOC Conference

作者： Liping Li Wenyi Zhang Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education of China Anhui University China Chinese Academy of Sciences and Department of Electronic Engineering and Information Sciences University of Science and Technology of China

Systematic polar codes are proposed by Arikan and are shown to have better BER performance than non-systematic polar codes. From a recursive decomposition of the generator matrix of polar codes, Arikan showed that the encoding complexity of systematic polar codes is also O(N log N) where N is the code block length. But the recursive process involves some additional calculations in transforming the problem instances back and forth. In this paper, by using the sparsity property of the generator matrix, we propose an encoding process which has the same complexity as non-systematic polar codes in the presence of an additional memory array. Without the additional memory elements, the number of additions of the proposed encoding process increases compared with non-systematic polar codes. We also provide an analysis to quantify this additional increase of the complexity.

关键词： Encoding Systematics Complexity theory Decoding Generators Bit error rate Electronic mail

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A saliency detection method based on global contrast

International Journal of Signal Processing, Image Processing...

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International Journal of signal processing, Image processing and Pattern Recognition 2015年第7期8卷 111-122页

作者： Yu, Chun-Yan Zhang, Wei-Shi Wang, Chun-Li Institute of Information and Science Technology Dalian Maritime University China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University No.3 Feixi Road Hefei China

To highlight the saliency object clearly from the foreground, we propose a saliency detection method based on global contrast with cluster. Due to the fact that background pixels usually have similar patches, we use cluster analysis to merge the background regions. By using mean shift filter, the background pixels with similar color level are clustered and the saliency calculation can be decreased a lot. In the method, we use the contrast of color feature with all the other pixels to compute the saliency map. A weight coefficient is utilized to improve the detection accuracy in global contrast differences evaluation. The results of extensive experiments on public dataset show that our method perform well and can highlight the salient object clearly against the other five state-of-the-art methods. Besides, we demonstrate that the applications in image segmentation and fusion with our saliency map can get satisfactory results. © 2015 SERSC.

关键词： Image segmentation

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A broadband polarization insensitive graphene absorber with wide incident angle

A broadband polarization insensitive graphene absorber with ...

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International Conference on Computational Problem-Solving (ICCP)

作者： Y. Wang Y. N. Jiang S. M. Li W. P. Cao X. Gao X. H. Yu R. Yuan Guangxi Experiment Center of Information Science Guilin China Guangxi Key Laboratory of Wireless Wideband Communication & Signal Processing Guilin University of Electronic Technology Guilin China School of Electrical and Information Engineering Guangxi University of Science and Technology Liuzhou China

ISBN: (纸本)9781467365451

The development of radar technology is a serious threat to the stealth of aircraft. To decrease the radar cross section (RCS) and enhance the stealth ability of targets, the absorber can be used. Based on graphene in this paper, a broadband absorber is proposed. The absorption rate of the proposed absorber is more than 90% in the 2.1-9.0GHz range with the relative bandwidth of 123%. Moreover, it has the microwave absorbing properties of polarization insensitive and wide incident angle range.

关键词： Graphene Absorption Impedance Broadband communication Conductivity Chemicals Bandwidth

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Multiple-input multiple-output over-the-horizon radar beamforming with uniform circular arrays 7

Multiple-input multiple-output over-the-horizon radar beamfo...

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2014 7th International Congress on Image and signal processing, CISP 2014

作者： Zhang, Yi Yuxiong, Jin National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu610041 China

ISBN: (纸本)9781479958351

Multiple-input Multiple-output (MIMO) radar is a new radar system which utilizes multiple antennas at both the transmitting side and the receiving side. In order to suppress the spread-Doppler sea clutter and eliminate the multipath and multimode clutter when detecting slow-moving ships, some OTHR researchers began to propose that applying the technology of MIMO radar to the next generation of sky-wave OTHR. It reaches this by MIMO beamforming which can be formed on both transmit with non-causal adaptive beamforming and receive and uses this transmit and receive 2D selectivity as the basis of a strategy for minimizing spread-Doppler sea clutter and the multipath and multimode clutter. Uniform linear arrays (ULA) can only use one-dimension in azimuth which is the main array in current generation OTHR systems. This paper considers introducing uniform circular arrays (UCA) in OTHR and we apply MIMO adaptive non-causal beamforming to UCA to achieve elevation filtering capability. Theoretical analysis and simulation results have been presented. © 2014 IEEE.

关键词： Beamforming

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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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Distributed detection with initial thresholds in local sensors

Distributed detection with initial thresholds in local senso...

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IEEE radar Conference

作者： Shenghua Zhou Yidi Chen Hongwei Liu Qinzhen Hu Ding Cao Leilei Xu Collaborative Innovation Center of Information Sensing and Understanding Xi'an P.R. China National Laboratory of Radar Signal Processing Xidian University Xi'an P.R. China China Academy of Launch Vehicle Technology Beijing P.R. China

ISBN: (纸本)9781467396561

For distributed multiple-input multiple-output (MIMO) radar, signal fusion based detection algorithms can significantly improve the target detection performance, but it may demand a high communication cost. In order to reduce the communication cost with a tiny loss in detection performance, this paper studies a distributed radar detection scheme that would set initial thresholds at local radar sites before transmitting local observations to a signal fusion center. The mechanism to make final decision is given and the probability of false alarm rate is formulated.

关键词： Decision support systems radar detection radar signal processing Sonar navigation Detection algorithms Object detection

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Influence of ordered and weighted analysis windows on detection in a CFAR radar

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International Journal of Circuits, Systems and signal processing 2014年 8卷 109-115页

作者： Mansouri, Houria Hamadouche, M'hamed Youcef Ettoumi, Fatiha Image Processing and Radar Laboratory University of Science and Technology Houari Boumediene Telecommunication Department Algiers Algeria LIMOSE Loaboratory Department of Infotronic University of Boumerdes Boumerdes Algeria

In this paper, we propose a novel algorithm for a CFAR radar detector. The proposed processor is derivated from OS CFAR one and is based on weighting samples taken for the background level estimate. We assume that targets are embedded in a Gaussian noise and fluctuate according to Swerling I model. First, closed form expressions of the probabilities of detection and false alarm are determined and the performances of the proposed detector referred as WMAX CFAR are investigated when using one weighting coefficient for one window containing N samples of background. Then, we consider the case of a version with two different weighting coefficients each applied on a half window containing N/2 samples. We present the results of performance analysis in non homogenous environment of the new detector referred as GOWMAX CFAR detector. The results are presented and discussed.

关键词： Gaussian noise (electronic)

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An efficient co-evolutionary particle swarm optimizer for solving multi-objective optimization problems

An efficient co-evolutionary particle swarm optimizer for so...

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第27届中国控制与决策会议

作者： Daqing Wu Li Liu Xiang Jian Gong Li Deng Key Laboratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University Computer Science and Technology Institute University of South China Glorious Sun School of Business and Management Dong Hua University

An efficient co-evolutionary multi-objective particle swarm optimizer named ECMPSO was *** uses dynamic multiple swarms to deal with multiple objectives,taking one objective is optimized by each swarm into account,and maintains diversity of new found non-dominated solutions via adopts a three-level particle swarm optimization(PSO) updating rule wherein the particles learn their experiences based on personal,neighborhood,and external *** prove the validity of the ECMPSO algorithm for solving multi-objective problems,some benchmark problems and one real-life problem are selected to validate the performance of the ECMPSO *** experiment results show that the ECMPSO algorithm is better in terms of search precision and convergence performance than other three algorithms from the literature.

关键词： Multi-objective Optimization,Particle Swarm Optimizer,Neighborhood Best Particle,Dynamic Swarms,Economic Environmental Dispatch

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A method for control of adaptation rate in acoustic feedback cancellation systems for hearing aids

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ICIC Express Letters 2015年第9期9卷 2505-2510页

作者： Wang, Xia Wang, Qingyun Liang, Ruiyu Tang, Guichen Zhao, Li Zou, Cairong Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University No. 2 Sipailou Nanjing China School of Communication Engineering Nanjing Institute of Technology No. 1 Hongjing Road Jiangning Science Park Nanjing China

Adaptive filters such as the normalized least mean square algorithm are popularly used to deal with acoustic feedback problem in hearing aids. This algorithm has to compromise between fast convergence and low misalignment. In order to meet these conflictions, a method for control of adaptation rate in acoustic feedback cancellation systems is proposed. The adaptation rate is controlled by the update state of the filter. Different adaptation rates are employed in different update states which are classified into convergent state, transitional state and steady state. The performance of the proposed method is compared with the fixed step size Normalized Least Mean Square (NLMS), Variable Step Size Normalized Least Mean Square (VSS-NLMS) based on recursive error energy and VSS-NLMS based on estimated variances. Experimental results indicate that the proposed method has better performance than other algorithms in terms of spectral distortion, Perceptual Evaluation of Speech Quality (PESQ) and average misalignment in steady state. © ICIC International 2015.

关键词： Adaptive filters

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Wind Speed Forecasting Based on Fuzzy-neural Network Combination Method

Wind Speed Forecasting Based on Fuzzy-neural Network Combina...

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第27届中国控制与决策会议

作者： Shanzhi LI Haoping WANG Yang TIAN Yanyan SHEN Abdel AITOUCHE Sino-French Int.J.Laboratory of Automatic Control and Signal Processing(LaFCAS) Automation SchoolNanjing University of Science & Technology LaFCAS and LAGIS Laboratories HEIUniversity Lille Nord de France

ISBN: (纸本)9781479970186

Wind speed forecasting is significant for power system *** and rapidity are essential *** paper is proposed a combination method based on a fuzzy neural *** combination weight of the proposed hybrid model which combines an Autoregressive Integrated Moving Average(ARIMA) model and a Radial Basis Function Neural Network(RBFNN) model is adjusted online according to the previous *** validate the proposed method effectiveness and performance,two cases of wind data have been *** first one is a simulation wind case and created by TurbSim code,which is developed by National Renewable Energy *** other one is a real-time wind speed case and its wind farm is located in northern Gulf of *** with the single models of ARIMA,RBFNN,hybrid mean strategy and variance strategy,the result of fuzzy-neural network combination method reduce both mean square and mean absolute errors.

关键词： Wind speed forecasting ARIMA RBF Fuzzy-neural network Combination algorithm

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