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A full-rate cooperative relay transmission scheme with randomized cyclic delay diversity

Journal of Computational Information Systems 2014年第1期10卷 275-284页

作者： Xu, Lei Bao, Menglin Jiang, Ran Zhang, Hongwei Li, Xiaohui Key Lab. of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

Randomized cyclic delay diversity (RCDD) is an effective means to capture both the space diversity and the frequency diversity with low complexity detection over frequency-selective fading channels. Since many existing full-rate cooperative relay transmission schemes have the disadvantages of low spectrum efficiency and high complexity detection, a practical and low complexity detection full-rate distributed cooperative relay transmission scheme is proposed in this paper by taking advantages of the randomized cyclic delay diversity method and the linear constellation precoding (LCP) technology. The bit error rate (BER) performance of the proposed scheme is superior to that of the system with fixed cyclic delay diversity (FCDD) when the number of subcarriers is sufficiently large. Moreover, the system diversity gain improves with the multipath number of the frequency-selective fading channel and the relay number increases. Copyright © 2014 Binary Information Press.

关键词： Cooperative communication

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Decision-making strategies for multi-objective community detection in complex networks

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 472卷 621-628页

作者： Zhang, Yu Zhang, Xingyi Tang, Jin Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China

ISBN: (纸本)9783662450482

Multi-objective optimization algorithms have demonstrated their effectiveness and efficiency in detecting community structure in complex networks, by which a set of trade-off partitions of networks are obtained instead of a single partition. The large number of partitions lead to a challenging problem for decision makers: how to obtain an ideal partition from the set of trade-off partitions of networks. In this paper, we present two decision-making strategies for obtaining the ideal partition, one is based on the knee points and the other is based on the majority voting. Experimental results on random networks and real-world networks illustrate that the presented two strategies are very competitive for obtaining an ideal partition of networks. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Complex networks

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Structural holes study of ICML collaborative network

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Journal of Computational Information Systems 2014年第24期10卷 10715-10722页

作者： Duan, Weiwei Qian, Fulan Shi, Lei Zhang, Yanping School of Computer Science and Technology Anhui University Hefei China Key Lab of Intelligent Computing and Signal Processing Anhui University Hefei China

Collaboration among authors is a pervasive phenomenon currently. Mining useful information from cooperation is a significant study to unravel relationships underneath these papers and predict potential collaborations or future popular academic topics. This paper demonstrates the change of Structural Holes in the whole network and for some individual authors from 2009 to 2012 in ICML. This paper is going to study the biggest subset in 2009, which separates into several smaller subsets with less structural holes in 2010 and 2011, while the number of structural holes in 2012 increases. The graphs of the whole networks from 2009 to 2012 drawn by Ucinet are going to demonstrate the changes of structural holes from 2009 to 2012 and expl the reason why there are more structural holes in 2012 compared to 2010 and 2011. The reason is that the ainnumber of authors in 2012 increases about 50 percent compared to 2011, which results in that authors need to find new collaborations and leaders may become intermediaries to connect new authors and existing authors occupying structural holes. And some authors whose papers are published on ICML continuously from 2009 to 2012 are going to be analysed to indicate the changes of their position in the network. Some authors are increasingly constrained in certain groups, while some other authors become bridges connecting different groups and some other authors changes are correspond to the changes of the whole network. They are constrained in certain subset with less structural holes in 2010 and 2011 but, due to large number of authors joining in ICML, more likely to occupy more structural holes.

关键词： Data mining

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Fast Multi-Baseline In SAR Phase Ambiguity Resolving Method with Low Computational Complexity

Fast Multi-Baseline In SAR Phase Ambiguity Resolving Method ...

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2014 International Conference on Computer,Communications and Information Technology(CCIT 2014)

作者： Ming Li Haiping Wei Liping Xiao Zhiyong Suo Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligent Control National Lab.of Radar Signal Processing Xidian Univ.

ISBN: (纸本)9781629939865

A fast multi-baseline Interferometric synthetic aperture radar(In SAR) phase ambiguity resolving method is presented. The ambiguity solution vector of the shortest baseline is first computed and used as a reference, and then the ambiguity solutions of all the other baselines are selected with logical judgment of phase difference between the measured phase and the wrapped phase, which is obtained by rewrapping the product of the referenced phase and the ratios of the other baselines to the referenced baseline. 1-dimensional searching is then executed on the same index of the reserved ambiguity solutions vectors. Furthermore, the wrong estimates affected by noise are eliminated by taking the largest frequency of the ambiguity numbers counted in a window. Compared to the conventional Chinese remainder theory(CRT), the proposed method is more robust and has much less computational complexity. The validity is investigated with simulated results.

关键词： multi-baseline interferometric synthetic aperture radar(In SAR),phase ambiguity resolving,Chinese remainder theory(CRT)

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MICkNN:Multi-Instance Covering kNN Algorithm

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Tsinghua Science and Technology 2013年第4期18卷 360-368页

作者： Shu Zhao Chen Rui Yanping Zhang Department of Computer Science and Technology and Key Lab of Intelligent Computing and Signal Processing Anhui University

Mining from ambiguous data is very important in data mining. This paper discusses one of the tasks for mining from ambiguous data known as multi-instance problem. In multi-instance problem, each pattern is a labeled bag that consists of a number of unlabeled instances. A bag is negative if all instances in it are negative. A bag is positive if it has at least one positive instance. Because the instances in the positive bag are not labeled, each positive bag is an ambiguous. The mining aim is to classify unseen bags. The main idea of existing multi-instance algorithms is to find true positive instances in positive bags and convert the multi-instance problem to the supervised problem, and get the labels of test bags according to predict the labels of unknown instances. In this paper, we aim at mining the multi-instance data from another point of view, i.e., excluding the false positive instances in positive bags and predicting the label of an entire unknown bag. We propose an algorithm called Multi-Instance Covering kNN （MICkNN） for mining from multi-instance data. Briefly, constructive covering algorithm is utilized to restructure the structure of the original multi-instance data at first. Then, the kNN algorithm is applied to discriminate the false positive instances. In the test stage, we label the tested bag directly according to the similarity between the unseen bag and sphere neighbors obtained from last two steps. Experimental results demonstrate the proposed algorithm is competitive with most of the state-of-the-art multi-instance methods both in classification accuracy and running time.

关键词： mining ambiguous data multi-instance classification constructive covering algorithm kNN algorithm

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A Full-Rate and Low-Detection Complexity Cooperative Transmission Scheme Based on Distributed Space-Time-Frequency Code Design

A Full-Rate and Low-Detection Complexity Cooperative Transmi...

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2013 IEEE 4th International Conference on Software Engineering and Service Science

作者： Hongyu Fang Ruzi Li Li Wang Xiaohui Li Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University

ISBN: (纸本)9781467349994

The cooperative transmission schemes based on the amplify and forward（AF） mode have the defect of low transmission rate and the exiting full-rate cooperative transmission schemes based on space-time code design have the defect of high detection ***,this paper makes the best of linear constellation precoding（LCP） technique and cyclic delay diversity（CDD） technique,and adopts the nonorthogonal amplify and forward（NAF） mode,finally proposes a new full-rate wireless cooperative transmission scheme based on space-time-frequency code *** with the cooperative transmission schemes that only pursue the transmission rate or the BER performance,this new scheme can apply to multi-relay scenario,and has the advantages of simple structure,low signal detection complexity that does not increases with the number of relay *** of above makes the real-time data transmission service of high quality come to be possible.

关键词： cooperative space-time-frequency full-rate lowdetection complexity

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A consistent pixel-wise blur measure for partially blurred images

A consistent pixel-wise blur measure for partially blurred i...

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IEEE International Conference on Image processing

作者： Xianyong Fang Feng Shen Yanwen Guo Christian Jacquemin Jian Zhou Shanchun Huang Anhui University Hefei Anhui CN Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei China State Key Lab. for Novel Software Technology Nanjing University Nanjing China AMI LIMSI-CNRS Orsay France

Despite numerous efforts on blur measurement of partially blurred images, there still lacks an effective blur measure that is both pixel-wise and locally sharp consistent. The paper proposes a novel method with two contributions to overcome this limitation: 1) A new pixel-based blur metric, Multi-resolution Singular Value (MSV), which leverages the average singular value of high frequency bands to measure the blur of each pixel, and 2) a locally continuous strategy, maximum-likelihood estimation (MLE) based refinement, that ensures local continuity by imposing the local sharp consistency on pixel blur in a local correcting process. Experimental results show that our method is effective to smoothly measure the partially blurred images without local discontinuity.

关键词： Maximum likelihood estimation Equations Frequency measurement Image edge detection Mathematical model Wavelet transforms

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Comparative Study on CSP and Improved ICA Algorithms in Motor Imagery

Comparative Study on CSP and Improved ICA Algorithms in Moto...

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2013 International Conference on Biological,Medical and Chemical Engineering(BMCE 2013)

作者： Xiao-Xiao GONG Xiao-Jing GUO Bang-Yan ZHOU Xiao-Pei WU Lei ZHANG The Key Lab.of Intelligent Computing and Signal Processing Anhui University

Independent Component Analysis(ICA)and Common Spatial Patterns(CSP)are commonly used to find spatial filters for classification of electroencephalogram(EEG)signals in motor *** ICA needs physiological knowledge about the potential changes of task-related EEG signals to select filters manually,this paper proposes to acquire filter information from the spatial filters constructed by CSP,then the improved ICA is compared with CSP from several aspects on BCI competition III dataset IVa as well as dataset of left and right hand motor imagery from our independent *** results suggest the proposed ICA has good classification performance and is better on robustness and flexibility,while CSP is simpler and more suitable for multi-channel EEG.

关键词： Spatial Filters Electroencephalogram Motor Imagery

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Video tracking of human with occlusion based on MeanShift and Kalman filter

Video tracking of human with occlusion based on MeanShift an...

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2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013

作者： Yuan, Bao Hong Zhang, De Xiang Fu, Kui Zhang, Ling Jun Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9783037858202

In order to accomplish tracking of moving objects requirements, and overcome the defect of occlusion in the process of tracking moving object, this paper presents a method which uses a combination of MeanShift and Kalman filter algorithm. MeanShift object tracking algorithm uses a histogram to describe the color characteristics of an object, and search the location of an image region that the color histogram is closest to the histogram of the object. Histogram similarity is defined in terms of the Bhattacharya coefficient. When the moving object is a large area blocked, the future state of moving object is estimated by Kalman filter. Experimental results verify that the proposed algorithm achieves efficient tracking of moving objects under the confusing situations. © (2013) Trans Tech Publications, Switzerland.

关键词： Kalman filters

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Wavelet denoising of SAR images corrupted by speckle noise using cycle spinning

Wavelet denoising of SAR images corrupted by speckle noise u...

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2nd International Conference on intelligent Materials, Applied Mechanics and Design Science, IMAMD 2013

作者： Ji, Ming Wei Liu, Yan Li Zhang, De Xiang The Institute of Mechanical and Electrical Engineering of Anhui University of Architecture Hefei 230601 China Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China

ISBN: (纸本)9783037857175

A novel and efficient speckle noise reduction algorithm based on wavelet transform by cycle spinning for removing speckle of unknown variance and minimizing the effect of pseudo-Gibbs phenomena from Synthetic Aperture Radar (SAR) images is proposed. Therefore, we show that the sub-band decompositions of logarithmically transformed SAR images. Then, we process and reconstruct multi-resolution wavelet coefficients by wavelet-threshold using cycle spinning, a technique estimating the true images as the linear average of individual estimates derived from wavelet thresholded translated versions of the noise images. Experimental results show that the proposed de-noising algorithm is possible to achieve an excellent balance between suppresses speckle effectively and weaken as many image Gibbs phenomena as possible. Quantitative and qualitative comparisons of the results obtained by the new method with the results achieved from the other speckle noise reduction techniques demonstrate its higher performance for speckle reduction in SAR images. © (2013) Trans Tech Publications, Switzerland.

关键词： Wavelet transforms

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