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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Dong, Yi Cheng, Wei Li, Shengfeng Institute of Applied Mathematics Bengbu College Bengbu China School of Management Hefei Univ. of Technology Hefei China Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei China Anhui Vocational College of Electronics and Information Technology Bengbu China

ISBN: (纸本)9781612841816

SVM (Support Vector Machines) is a novel algorithm of machine learning which is based on SLT (Statistical Learning Theory). It can solve the problem characterized by nonlinear, high dimension, small sample and local minimizing perfectly. For non-linear problem, the forecasting technique of FCTR (First classification, then regression) was proposed, based on the classification approach of SVM and has carried on the simulation experiment. The experiment shows that the fitting value which obtains using the return to first would be more precise than directly. Using this method to food production forecast, its accuracy is superior to other production forecasting methods. © 2011 IEEE.

关键词： Support vector machines

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A new regression method based on SVM classification

A new regression method based on SVM classification

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Yi Dong Wei Cheng Shengfeng Li Institute of Applied Mathematics Bengbu College China Key Lab. of Intelligent Computing & Signal Processing Anhui University Hefei China

关键词： Support vector machines Production Predictive models Forecasting Numerical models Educational institutions Integrated circuit modeling

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On alpha-mean of Kullback-Leibler divergences for subspace selection

On alpha-mean of Kullback-Leibler divergences for subspace s...

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Chen, Si-Bao Wang, Hai-Xian Zhang, Xing-Yi Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China Key Lab of Child Development and Learning Science of Ministry of Education Research Center for Learning Science Southeast University Nanjing Jiangsu 210096 China

ISBN: (纸本)9781612841816

Fisher's linear discriminant analysis (FLDA) is one of the most well-known linear subspace selection methods. However, FLDA suffers from the class separation problem. The projection to a subspace tends to merge close class pairs. Recent results show that maximizing the geometric mean or harmonic mean of Kullback-Leibler (KL) divergences of class pairs can significantly reduce this problem. In this paper, to further reduce the class separation problem, the alpha-mean of divergences as a framework is proposed for subspace selection, with arithmetic mean, geometric mean and harmonic mean as special cases. We named it the maximization of the alpha-mean of all pairs of KL divergences (MAMD) criterion. A quasi-Newton method is applied to solve the optimization problem. Experiments on synthetic data and two datasets in UCI machine learning repository show the validity of MAMD. © 2011 IEEE.

关键词： Newton-Raphson method

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Inter-piconet Interference Mitigation Schemes for Converged BTLE and Cellular Network

Inter-piconet Interference Mitigation Schemes for Converged ...

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2011年无线通信与信号处理国际会议(WCSP 2011)

作者： Ying Hu Guizhu Wang Yuling Ouyang Lianhai Shan Zhi Yuan Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Key laboratory of Intelligent Computing & SignalProcessing Ministry of Education Anhui UniversityHe Shanghai Research Center for Wireless CommunicationsKey Lab of Wireless Sensor Network & Communicati

In a Bluetooth Low Energy (BTLE) piconet, the master node controls the channel access by a simple polling scheme. Due to an absence of coordination among independent master nodes while accessing the wireless medium, devices will encounter high packet interference if many piconets are simultaneously operating in the same area. In this paper, we propose two schemes in the converged BTLE and cellular network, one is based on bad channel prediction for the BTLE piconets, and the other is based on frequency hopping sequences transformation. We compare the performance of the proposed algorithms with original scheme in the form of channel collision probability and new signaling overhead. The simulation results show that the proposed schemes can reduce channel collision probability significantly and simultaneously the new signaling overhead introduced to the downlink is not large.

关键词： Bluetooth Low Energy(BTLE) piconets cellular network interference channel collision probability

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FAST COMPUTATION OF WIDEBAND RCS USING CHARACTERISTIC BASIS FUNCTION METHOD AND ASYMPTOTIC WAVEFORM EVALUATION TECHNIQUE

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Journal of Electronics(China) 2010年第4期27卷 453-457页

作者： Sun Yufa Du Yan Shao Yong Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

The Asymptotic Waveform Evaluation (AWE) technique is an extrapolation method that provides a reduced-order model of linear system and has already been successfully used to analyze wideband electromagnetic scattering problems. As the number of unknowns increases, the size of Method Of Moments (MOM) impedance matrix grows very rapidly, so it is a prohibitive task for the computation of wideband Radar Cross Section (RCS) from electrically large object or multi-objects using the traditional AWE technique that needs to solve directly matrix inversion. In this paper, an AWE technique based on the Characteristic Basis Function (CBF) method, which can reduce the matrix size to a manageable size for direct matrix inversion, is proposed to analyze electromagnetic scattering from multi-objects over a given frequency band. Numerical examples are presented to il-lustrate the computational accuracy and efficiency of the proposed method.

关键词： Method of Moments (MOM) Radar Cross Sections (RCS) Characteristic Basis Func-tion (CBF) method Asymptotic Waveform Evaluation (AWE) Multi-objects

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SAR image despeckling via Bayesian shrinkage based on nonsubsampled contourlet transform

SAR image despeckling via Bayesian shrinkage based on nonsub...

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2010 International Conference on Computational and Information Sciences, ICCIS2010

作者： Zhang, De-Xiang Gao, Qing-Wei Wu, Xiao-Pei Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9780769542706

We propose a novel and efficient SAR image despeckling via Bayesian shrinkage based on nonsubsampled contourlet transform, which has been recently introduced. Despeckling by means of contourlet transform introduce many visual artifacts due to the Gibbs-like phenomena. Nonsubsampled contourlet transform is a flexible multiscale, multidirection and shift-invariant image decomposition that can be efficiently implemented via transform. A Bayesian estimator is applied to the decomposed contourlet coefficients of the logarithmically transformed image to estimate the best value for the noise-free signal. Experimental results show that compared with conventional wavelet despeckling algorithm, the proposed algorithm can achieve an excellent balance between suppresses speckle effectively and preserves image details, and the significant information of original image like textures and contour details is well maintained. © 2010 IEEE.

关键词： Shrinkage

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Fast calculation of wide-band RCS for three-dimensional PEC objects based on preconditioned AWE technique

Fast calculation of wide-band RCS for three-dimensional PEC ...

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URSI International Symposium on signals, Systems, and Electronics (ISSSE)

作者： Zhao, Ke-Ming Sun, Yu-Fa Key Lab. of Intelligent Computing and Signal Processing Ministry Education Anhui University Hefei 230039 China

ISBN: (纸本)9781424463558

The asymptotic waveform evaluation (AWE) technique combined with the method of moments (MOM) is often applied to accelerate the calculation of the wide-band radar cross section (RCS) of the target. However, the technique is still quite time-consuming for solving the inverse of impedance matrix when the objects are electrically large. In this paper, Krylov subspace iterative methods are applied to solve the matrix equation derived from electric field integral equation instead of matrix inverse. The dual threshold incomplete LU factorization preconditioner is adopted to improve the convergence behavior of the Krylov subspace iterative methods. The numerical computation shows that the results in this paper are in good agreement with the results obtained by the method of moments at each frequency, and the computational efficiency is improved greatly. © 2010 IEEE.

关键词： Method of moments

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GPU-based accelerated FDTD simulations for double negative (DNG) materials applications

GPU-based accelerated FDTD simulations for double negative (...

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2010 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2010

作者： Chen, Shen Dong, Sun Xian-Liang, Wu Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei 230039 China

ISBN: (纸本)9781424457052

Recently, double-negative meta-materials are widely studied in scientific research. The double-negative (DNG) mediums are characterized by simultaneous negative permittivity and permeability. In order to make the FDTD method analyze the electromagnetic scattering and propagation for doublenegative (DNG) medium, z-transform is applied to the FDTD method in the double-negative (DNG) medium. For the simulations, extremely large computer memory space and a long computational time is required. A parallel algorithm for the FDTD method on the state of the art graphics hardware is presented. The parallel computing techniques can be used to reduce the computation time significantly and have been widely applied in various complex FDTD applications. In this paper, we simulate the interaction between electromagnetic wave and DNG medium, and describe an impact of new GPU features on development process of an efficient Finite Difference Time Domain (FDTD) implementation. © 2010 IEEE.

关键词： Finite difference time domain method

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An efficient technique for extracting singularity arising in RCS computation of cylindrical antenna

An efficient technique for extracting singularity arising in...

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2010 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2010

作者： Li, Jing Sun, Yufa Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry Education Hefei 230039 China

ISBN: (纸本)9781424457052

Analysis of electromagnetic scattering characteristics from wire antennas using method of moments has been performed over the past decades. In this paper, an efficient technique is adopted to evaluate the potential and reaction integrals arising in radar cross section (RCS) computation of cylindrical antenna by method of moments. The singularity of potential and reaction integrals is extracted through the semi-analytical method. The induced current on the surface and RCS of cylindrical antenna are calculated. Numerical examples are presented to illustrate the computational accuracy and efficiency of the proposed technique. © 2010 IEEE.

关键词： Radar cross section

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A Regularized Super Resolution Algorithm for Generalized Gaussian Noise

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Journal of Donghua University(English Edition) 2010年第1期27卷 25-35页

作者：陈文方向忠刘立峰蒋伟丁大为乔艳涛 Institute of Image Communication and Information Processing Shanghai Jiaotong University Computer and Information Department Shanghai University of Electric Power Key Lab oratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University

In this paper,an iterative regularized super resolution (SR) algorithm considering non-Gaussian noise is *** on the assumption of a generalized Gaussian distribution for the contaminating noise,an lp norm is adopted to measure the data fidelity term in the cost *** the meantime,a regularization functional defined in terms of the desired high resolution (HR) image is employed,which allows for the simultaneous determination of its value and the partly reconstructed image at each iteration *** convergence is thoroughly *** results show the effectiveness of the proposed algorithm as well as its superiority to conventional SR methods.

关键词： super resolution generalized p-Gaussian distribution regularization parameter

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