检索结果-内蒙古大学图书馆

Interference Alignment algorithm over Partially connected MIMO Interference Broadcast Channels Network

INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING 2013年第6期6卷 193-204页

作者： Wang, Yuan Zhang, Zhongpei Univ Elect Sci & Technol China Natl Key Lab Sci & Technol Commun Chengdu 611731 Sichuan Peoples R China

Conversely to the fully connected case, it has been proved in theory that interference alignment (IA) can be achievable in a partially connected multi- cell multiple input and multiple output (MIMO) interfering broadcast channels (IBC) network of arbitrary size efficiently. For this applicable significance, based on the L-interfering MIMO IBC model, we present three iterative IA algorithms to solve the alignment problem for this type of model in this paper. Then we discuss the feasibility conditions and the computational complexity of the algorithms. Simulations show that, with a finite antenna number per transmitter and receiver pair between base station (BS) and user, the proposed algorithms can achieve the optimal degrees of freedom (DoF) and can be applied to a partially connected MIMO IBC network with arbitrary number of cells and users per cell.

关键词： partially connected interference broadcast channels Interference alignment (IA) iterative algorithm degrees of freedom (DoF)

来源：评论

学校读者我要写书评

暂无评论

An Efficient Method for Strain Fatigue Reliability Analysis

An Efficient Method for Strain Fatigue Reliability Analysis

引用

2011 9th International Conference on Reliability,Maintainability and Safety(第九届国际可靠性、维修性、安全性会议 ICRMS'2011)

作者： Qin Liu Zhili Sun Yunpeng Qian Dan Wang Department of Mechanical Engineering and Automation Northeastern University Shenyang 110004 China North China System Engineering Institute CNGC Beijing 100089 China

Based on Manson-Coffin Equation, a strain fatigue reliability model was built Because of high nonlinear degree, the first-order reliability method has convergence difficulty for the model. An efficient iterative algorithm for strain fatigue reliability is proposed by using automatic step adjustment method etc., and the numerical results show that the proposed method has a good convergence compared with FORM.

关键词： strain fatigue reliability iterative algorithm automatic step adjustment

来源：评论

学校读者我要写书评

暂无评论

ECG signal base line filtering and power interference suppression method

ECG signal base line filtering and power interference suppre...

引用

International Conference on Information Science and Engineering (ICISE)

作者： Min Li Jiyin Zhao Weiwei Zhang Ruirui Zheng College of Electromechanical & Information Engineering Dalian Nationalities of University Dalian China

ECG signal is non-stationary, base line drift and power interference are the important factors influencing ECG signal extraction in high accuracy and directly determine the accuracy of ECG signal extraction and performance of analyzing and processing ECG signal. Adaptive filtering method can realize effective extraction of non-stationary signals without knowing a priori knowledge about signal and noise, this paper presents an adaptive noise cancellation system for ECG signal base line filtering and power interference suppression, constructs an iterative time LMS algorithm combining variable and fixed step size, which effectively solves the problems of filtering SNR and convergence rate. The experiment results show that this method improves 26.36dB in SNR, eliminates base line drift and power interference effectively, extracts ECG signal accurately and converges quickly, has important practical value in medical clinical diagnosis.

关键词： Least squares approximation Electrocardiography Noise cancellation Filtering Convergence Adaptive filters iterative algorithm

来源：评论

学校读者我要写书评

暂无评论

Generating a novel sort algorithm using Reinforcement Programming

Generating a novel sort algorithm using Reinforcement Progra...

引用

Congress on Evolutionary Computation

作者： Spencer K. White Tony Martinez George Rudolph WA USA Computer Science Department Brigham Young University Provo UT USA Department of Mathematics and Computer Science Citadel Charleston SC USA

Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approach and gives results of experiments using RP to generate a generalized, in-place, iterative sort algorithm. The RP approach improves on earlier results that that use genetic programming (GP). The resulting algorithm is a novel algorithm that is more efficient than comparable sorting routines. RP learns the sort in fewer iterations than GP and with fewer resources. Results establish interesting empirical bounds on learning the sort algorithm: A list of size 4 is sufficient to learn the generalized sort algorithm. The training set only requires one element and learning took less than 200,000 iterations. RP has also been used to generate three binary addition algorithms: a full adder, a binary incrementer, and a binary adder.

关键词： Training Sorting Heuristic algorithms Complexity theory iterative algorithm Arrays Adders

来源：评论

学校读者我要写书评

暂无评论

Distributed MPC for Tracking based on Reference Trajectories

Distributed MPC for Tracking based on Reference Trajectories

引用

第三十三届中国控制会议

作者： Langwen Zhang Jingcheng Wang Zhengfeng Liu 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 Science Queen's University Belfast

ISBN: (纸本)9781479947249

In this paper, we consider the control of large-scale processes with both input and state couplings. A distributed model predictive control(MPC) strategy for tracking based on the reference trajectories is presented. The proposed distributed MPC strategy requires decomposing a large-scale system into several smaller ones and solving convex optimization problems independently. Distributed MPC tracking strategies for unconstrained and constrained processes are presented, respectively. An iterative algorithm is presented to coordinate the distributed MPC controllers. The proposed algorithm is applied to a four-tank process to demonstrate the effectiveness.

关键词： distributed MPC tracking iterative algorithm reference trajectories

来源：评论

学校读者我要写书评

暂无评论

Anovel Quasi-Newton Image Reconstruction algorithm For Electrical Capacitance Tomography System

Anovel Quasi-Newton Image Reconstruction Algorithm For Elect...

引用

2009 ISECS International Colloquium on Computing, Communication, Control, and Management

作者： Chen Yu,Sun fan,Yi Bo Information and Computer Engineering Institute Northeast Forestry University Harbin,China Chen Deyun Computer Institute Harbin University of Science and Technology Harbin,China

To solve the electrical capacitance tomography(ECT)technology"soft field"effect and pathological problem,a Quasi-Newton new algorithm for electrical capacitance tomography is *** the basis of analyzing ECT system measurement principle, constructing corrector formula of secant approximation algorithm in second-order information items of objective *** feasibility of using this algorithm for ECT problems is also *** shows that it is easy to meet the convergence condition and error of image reconstruction is *** results and simulation data indicate that the algorithm can provide high quality images and favorable stabilization compared with LBP and conjugate gradient algorithms and this new algorithm presents a feasible and effective way to research on image reconstruction algorithm for Electrical Capacitance Tomography System.

关键词： electrical capacitance tomography image reconstruction iterative algorithm Quasi-Newton

来源：评论

学校读者我要写书评

暂无评论

The Social Cognitive Optimization algorithm: Modifiability and Application

The Social Cognitive Optimization Algorithm: Modifiability a...

引用

International Conference on E-Product E-Service and E-Entertainment

作者： Li Ma Rong-xi Wang Yan-ping Chen Information Center Xi''an University of Posts and Telecommunications Xi'an China Computer School Xi''an University of Posts and Telecommunications Xi'an China

The social cognitive optimization algorithm is one of the newest intelligent algorithms, and this algorithm can help the solvers to avoid tripping in local optimization when solving the nonlinear constraint problems effectively. The algorithm is based on the social cognitive theory and the key point of the ergodicity is the process of refreshing the knowledge points. Modified and optimized the conditions of neighborhood searching through bring in the Chaos and Kent mapping function to get more reasonable knowledge points which were distributed more uniform. Used the real nonlinear constraint problem to test the performance of the modified algorithm, through compared data, the later has advantages on the speed of convergence and the legitimacy, and the value of the target function is more closed to the theory value.

关键词： Optimization Chaos Libraries Approximation algorithms Convergence Gallium iterative algorithm

来源：评论

学校读者我要写书评

暂无评论

Positive Realness in Stochastic Subspace Identification: A Regularized and Reweighted Nuclear Norm Minimization Approach

Positive Realness in Stochastic Subspace Identification: A R...

引用

European Control Conference

作者： Huseyin Akcay Semiha Turkay Department of Electrical and Electronics Engineering Anadolu University

ISBN: (纸本)9781467371605

In this paper, we propose a method to transform a non-positive real transfer function matrix into a positive real one. This problem is of engineering interest and arises when a linear time-invarant dynamics is identified by stochastic subspace identification methods. Recent methods to tackle this problem are based on semi-definite programming schemes and as illustrated by numerical examples in this paper suffer from leakage effect at peak frequencies of the modified frequency response. The method proposed in this paper is inspired from the matrix rank minimization problem, which consists of finding a matrix of minimum rank satisfying given convex constraints. This NP-hard problem is then solved by an iteratively reweighted nuclear norm heuristic. We apply this heuristic to the problem considered in this paper. Numerical examples show that this method converges only in a few iterations and is effective in eliminating leakages at peak frequencies.

关键词： Positive realness Stochastic realization Sub-space identification Matrix rank minimization Nuclear norm iterative algorithm

来源：评论

学校读者我要写书评

暂无评论

Power Control and Low-Complexity Receiver for Uplink Massive MIMO Systems

Power Control and Low-Complexity Receiver for Uplink Massive...

引用

IEEE/CIC International Conference on Communications in China

作者： Lixing Fan Yongming Huang Fan Zhang Shiwen He Luxi Yang School of Information Science and Engineering Southeast University

ISBN: (纸本)9781479941452

This paper proposes an uplink power control strategy with a low-complexity receiver for massive multiple-input multiple-output (MIMO) transmission in the correlated Rayleigh block-fading channel. To avoid the large dimensional matrix inversion required by a minimum mean-square-error (MMSE) receiver in massive MIMO systems, we adopt the receiver based on truncated polynomial expansion (TPE) to reduce the complexity. We apply the uplink power control with the TPE receiver for the purpose of saving power consumption of all users. Due to the deterministic equivalent for the post-processing Signal to Interference plus Noise Ratio (SINR), we propose an iterative algorithm to jointly optimize the polynomial coefficients of the TPE receiver and the total transmit power of all users based on the long-term channel state information (CSI) without the exchange of the excessive amount of instantaneous CSI. We prove that the proposed algorithm is converged. Numerical results show that the transmit power consumed by the system using the uplink power control strategy with the TPE receiver is close to that with the MMSE receiver when the polynomial degree is properly high.

关键词： MIMO communication Rayleigh channels computational complexity least mean squares methods polynomials power consumption power control radio receivers radiofrequency interference telecommunication control telecommunication power management MMSE receiver SINR TPE receiver channel state information correlated Rayleigh block-fading channel iterative algorithm large dimensional matrix inversion long-term CSI low-complexity receiver minimum mean-square-error receiver multiple-input multiple-output transmission polynomial coefficients optimization post-processing signal to interference plus noise ratio truncated polynomial expansion uplink massive MIMO systems uplink power control strategy Interference MIMO Polynomials Power control Receivers Signal to noise ratio Uplink

来源：评论

学校读者我要写书评

暂无评论

Based on k-Means and Fuzzy k-Means algorithm Classification of Precipitation

Based on k-Means and Fuzzy k-Means Algorithm Classification ...

引用

International Symposium on Computational Intelligence and Design, ISCID

作者： Lihua Yang Meilan Deng

In this paper, the author used K-means and fuzzy K-means to analyze the classification of precipitation in JingDeZhen City, and the results showed that using fuzzy k-means algorithm is a more efficient data clustering... 详细信息

关键词： Clustering algorithms Classification algorithms algorithm design and analysis Partitioning algorithms iterative algorithm Indexes Convergence

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：