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检索条件"主题词=Iterative algorithm"

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A combined amplitude-density synthesis approach for the design of linear aperiodic arrays

A combined amplitude-density synthesis approach for the desi...

引用

IEEE International Symposium on Phased Array Systems and Technology

作者： Piero Angeletti Giovanni Toso European Space Agency Noordwijk Netherlands

ISBN: (纸本)9781424451272

A new iterative procedure for the design of linear aperiodic arrays is introduced which permits exploiting, in a combined way, both the positions and the excitation amplitudes of the array elements obtaining a pattern which optimally fits, in terms of a weighted L2 norm, the pattern of a reference linear continuous aperture. Interesting radiative properties and some advantages for the realization of active arrays will be presented as well.

关键词： Antenna arrays Minimization Apertures Satellite antennas iterative algorithm

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Energy Efficient Power Allocation Scheme in Heterogeneous Cellular Networks

Energy Efficient Power Allocation Scheme in Heterogeneous Ce...

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International Conference on Wireless Communications and Signal Processing

作者： Yan Lin Shidang Li Yi Wang Chunguo Li Yongming Huang Luxi Yang Sch. of Inf. Sci. & Eng. Southeast Univ. Nanjing China

ISBN: (纸本)9781467376884

The deployment of small-cell access points (SCAs) is widely acknowledged as a promising network densification way to satisfy the future capacity needs of 5G wireless cellular network. In this paper, we study the power allocation problem in heterogeneous downlink network while satisfying QoS constraints and power constraints simultaneously. The scheme is formulated as maximizing the system energy efficiency and then transformed into a tractable convex optimization problem. Utilizing multiflow RZF beamforming to reduce complexity, an iterative algorithm is proposed with provable convergence. Numerical results compare the proposed algorithm in different simulation parameters and show that increasing the number of SCAs, the antennas per SCA and users could enhance the total system energy efficiency.

关键词： 5G mobile communication array signal processing cellular radio convex programming iterative methods quality of service telecommunication power management 5G wireless cellular network QoS SCA convex optimization problem energy efficient power allocation scheme heterogeneous cellular networks iterative algorithm multiflow RZF beamforming network densification small-cell access points Antennas Array signal processing Interference Optimization Quality of service Resource management Transmitters Quality of service array signal processing Cellular networks iterative algorithms cellular radio convex programming ANTENNA power splitting Transmitters iterative methods Energy efficiency management of resources Simulation parameter

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On stability analysis and synthesis of reset control systems with output uncertainties

On stability analysis and synthesis of reset control systems...

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第三十三届中国控制会议

作者： Guanglei Zhao Jingcheng Wang Kang Li Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Electronics Electrical Engineering and Computer ScienceQueens University BelfastUK

ISBN: (纸本)9781479947249

This paper considers reset control systems with output *** present sufficient conditions for the quadratic stability and finite L2 gain ***,the results are extended to piecewise quadratic stability which is much less ***,an iterative algorithm is proposed to design the reset *** the obtained results are given as linear matrix inequalities(LMIs) that can be solved *** examples are given to illustrate the results.

关键词： reset control output uncertainties quadratic stability iterative algorithm

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An efficient ICA approach based on neural network framework for biomedical applications

An efficient ICA approach based on neural network framework ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Yue-Der Lin Chih-Yu Hsu Hung-Yun Chen Kuo-Kun Tseng Department of Automatic Control Engineering and Master Program of Biomedical Informatics and Biomedical Engineering Feng Chia University FCU Taichung Taiwan Department of Information and Communication Engineering Chao Yang University of Technology Taichung Taiwan Department of Automatic Control Engineering Feng Chia University FCU Taichung Taiwan Department of Computer Science and Engineering Hung Kuang University Taichung Taiwan

The paper developed a block-wise approach for ICA algorithms which can improve the computational efficiency of ICA without the degradation of performance for the separation of biomedical signals. Source signals including electrocardiogram (ECG), electromyogram (EMG) and 60-Hz sinusoid are linearly mixed for experimental tests. The mean-square errors (MSE) between the original sources and the separated signals are calculated for the evaluation of separation performance. These results demonstrated that the proposed block-wise approach can achieve the desired separation performance of signals in a more efficient way.

关键词： Equations algorithm design and analysis Electrocardiography Electromyography Source separation iterative algorithm Indexes

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Research on two-stage Exponential Acceleration algorithm for Stepping Motor

Research on two-stage Exponential Acceleration Algorithm for...

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2017 International Conference on Advances in Materials,Machinery,Electrical Engineering(AMMEE 2017)

作者： Tianjie Xia Ying Li School of Mechanical & Power Engineer East China University of Science and Technology

ISBN: (纸本)9781510842915

In order to solve the problem that the stepping motor in the manipulator is frequently stopped and the conventional index algorithm can not make full use of the output torque under the high speed heavy load,the two-stage exponential acceleration algorithm for stepper motor is *** on the critical load curve, the two-stage exponential type and the conventional exponential acceleration scheme are analyzed and compared, which proves that the former has better *** critical load curve fitting is carried out by Matlab software, and the best point are selected by w-t equation. The two-stage exponential acceleration iterative algorithm is designed to reduce the dispersion of the speed-increasing process and improve the smoothness of the stepping motor acceleration ***, the experimental results show that the motor speed curve under the two-stage exponential control is in accordance with the theoretical curve, and the feasibility of the method is proved.

关键词： Stepping Motor PLC Critical Load Curve Two-Stage Exponential Acceleration iterative algorithm

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Time-varying neural networks based indirect adaptive ILC for discrete-time varying nonlinear systems

Time-varying neural networks based indirect adaptive ILC for...

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Chinese Control Conference (CCC)

作者： Weili Yan Mingxuan Sun College of Information Engineering Zhejiang University of Technology Hangzhou 310023 China

By using the iterative learning projection algorithm with dead-zone for training time-varying weights, a time-varying neural networks (TVNNs) based indirect adaptive iterative learning control (I-AILC) scheme is presented for a class of uncertain discrete-time varying nonlinear systems with unknown control gain sign. The control singularity has been overcome through a modification of the control gain estimation which can be bounded away from zero. The proposed TVNNs-based I-AILC doesn't require the strict initial resetting condition and the reference trajectory can vary along the iteration axis. Theoretical analysis proves the boundedness of all signals of the closed-loop system and convergence of the tracking error to a bounded region. The numerical results presented verify effectiveness of the proposed method.

关键词： iterative algorithm Time varying systems Artificial neural networks Nonlinear systems Adaptive systems Convergence Projection algorithms

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Research on NBA winning percentage prediction

Research on NBA winning percentage prediction

引用

作者： Junyi Li Yuntian Xu Zizheng Xu Luca Pan Shubo Zhang Finance Capital University of Economics and Business Math University of California Irvine High school Shawnigan Lake School High School Vanke Meisha Academy AP Program Beijing National Day School

The National Basketball Association, also known as the NBA, is a professional basketball league composed of 30 professional teams in North America and one of the four major professional sports leagues in the United States. This research delves into predicting winning percentages in NBA games using a data-driven approach. It utilizes three years' worth of comprehensive game data from 30 NBA teams(2014-2016), including actual outcomes and expert predictions. The study aims to acquire valuable teamwork and data research skills while contributing to sports analytics. Data preparation involves cleaning and selecting recent seasons for model training. The prediction model utilizes an iterative algorithm to estimate team strength coefficients based on game results. Though the model shows promise, its accuracy falls slightly short compared to bookies' predictions. The research provides valuable insights for predicting NBA game outcomes and suggests avenues for improving the model's accuracy through additional variables

关键词： Sport performance analysis Winging prediction Predictive model Data preprocessing iterative algorithm

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iterative learning control design on nonlinear time-delay systems

Iterative learning control design on nonlinear time-delay sy...

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Chinese Control Conference (CCC)

作者： Xisheng Zhan Department of Control science and engineering Hubei Normal University Huangshi Huangshi Hubei Province P.R.China

A robust iterative learning control algorithm is proposed based on T-S model for a kind of nonlinear time-delay systems with repetitive actions. Firstly, the proposed algorithm uses fuzzy T-S model to build the model for nonlinear time-delay system, secondly, the global fuzzy system model could be described as the form of uncertain systems, finally, the robust iterative learning controller is designed through resolving Riccati equation. The sufficient and essential condition of the algorithm is deduced based on Lyapunov theories for nonlinear time-delay system.

关键词： Symmetric matrices algorithm design and analysis Robustness Mathematical model iterative algorithm Uncertain systems Adaptation model

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The Frontier of SGD and its Variants in Machine Learning

The Frontier of SGD and its Variants in Machine Learning

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2017 2nd International Conference on Mechatronics and Information Technology(ICMIT 2017)

作者： Juan Du New Research and Development Center of Hisense

Numerical optimization is a classical field in operation research and computer science, which has been widely used in the areas such as physics and economics. Although, optimization algorithms have achieved great success for plenty of applications, handling the big data in the best fashion possible is a very inspiring and demanding challenge in the artificial intelligence era. Stochastic gradient descent(SGD) is pretty simple but surprisingly, highly effective in machine learning models, such as support vector machine(SVM) and deep neural network(DNN). Theoretically, the performance of SGD for convex optimization is well understood. But, for the non-convex setting, which is very common for the machine learning problems, to obtain the theoretical guarantee for SGD and its variants is still a standing problem. In the paper, we do a survey about the SGD and its variants such as Momentum, ADAM and SVRG, differentiate their algorithms and applications and present some recent breakthrough and open problems.

关键词： SGD Stochsatic algorithms optimization iterative algorithm machine learning

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Adaptive-weighted high order TV image reconstruction algorithm based on Chambolle-Pock algorithm frame

Adaptive-weighted high order TV image reconstruction algorit...

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第十七届中国体视学与图像分析学术会议

作者：席雅睿 YU Haijun TAN Chuandong 刘丰林 Key Laboratory of Optoelectronic Technology and Systems Ministry of EducationChongqing University Engineering Research Center of Industrial Computed Tomography Nondestructive Testing Ministry of EducationChongqing University College of Mechanical and Vehicle Engineering Chongqing University

Analytic algorithms and iterative algorithms are two main computed tomography(CT) image reconstruction ***,total variation(TV) minimization algorithm is a classical iterative *** TV minimization algorithm is an image reconstruction algorithm based on compressed sensing,which can accurately reconstruct images from sparse data or highly noisy ***,the traditional TV minimization algorithm often incurs over-smoothness at structure's edges if the reconstructed image has an obvious piecewise constant ***,it may lead to block artifacts for grayscale fluctuation ***,this paper proposed an adaptive-weighted high order total variation(AWHOTV) algorithm based on Chambolle-Pock(CP) algorithm *** constructed the second order TV-norm using the second order gradient,adopted anisotropic edge property between neighboring image pixels,adaptively adjusted local image-intensity gradient to keep edge information,and designed CP solving *** evaluate performance of AWHOTV,we utilized simulation and real data to reconstruct images and conduct qualitative and quantitative analysis under ideal data projection and noisy data *** results show that relative to the traditional TV algorithm,AWHOTV can effectively suppress the block artifacts and has good edge protection *** is a better reconstruction algorithm for images with obvious grayscale fluctuation features,which also can be extended to other imaging modalities.

关键词： adaptive-weighted high order total variation Chambolle-Pock algorithm compressed sensing iterative algorithm image reconstruction

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