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雷达工程学
雷达原理在工程中的应用
- 2020-11-30下载
- 积分：1
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数字电路设计万年历实验报告
一、实验目的：1、掌握数字钟的设计方法；2、熟悉集成电路的使用方法。3.学会使用卡若图进行设计。二、设计任务和要求：1、设计一个有“时”，“分”，“秒”，“年”，“月”，“日”，“星期”显示且有校时功能的万年历；2、 用中小规模集成电路组成电子钟；3、画出框图和逻辑电路图，写出设计报告；
- 2021-05-06下载
- 积分：1
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现代半导体器件物理（施敏）
现代半导体器件物理（施敏） 这是半导体物理的经典之作哦，销量一直很高，作者曾经在贝尔实验室工作，是半导体物理理论的奠基人，发明了非挥发性存储器。
- 2021-05-06下载
- 积分：1
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多旅行商matlab实验源码
多旅行商matlab实验源码实现了三种多旅行商问题% MTSPOF_GA Fixed Open Multiple Traveling Salesmen Problem (M-TSP) Genetic Algorithm (GA)% Finds a (near) optimal solution to a variation of the "open" M-TSP by% setting up a GA to search for the shortest route (least distance needed% for each salesman to travel f
- 2020-12-02下载
- 积分：1
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[程序源代码]MATLAB在射频电路设计中的应用
MATLAB 在射频电路设计中
- 2020-12-10下载
- 积分：1
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关于模糊C-均值(FCM)聚类算法的改进
关于模糊C-均值(FCM)聚类算法的改进关于模糊C-均值(FCM)聚类算法的改进∑∑md2(x1,v,)离有变化,即(1)式中改为(,)=|P)(x;-v大连大学学报其中W为模糊加权因子,由式(5)确定。在模糊￠一均值算法中引入模糊加权因4子,使得数据空间中各个数据点对同一橐类中心所具有的特征优势不同,导致对距离的贡献也不同,更具合理性,使得聚类效果更好,分类更清晰,改进数据预处理的方法。4数据仿真结果将200个二维数据分为三类。使用了两种方法,本文提出的改进的模糊聚类算法(引入了模糊加权因子),结果见图2;经典的模糊C-均值聚类算法6,结果见图3对比聚类效果图如通过对比两种算法的效果图可以看出:图图3FCM聚类效果图2是改进后的模糊聚类算法(引入了模糊加权刈比目标函数曲线如下因子)的效果图,聚类效果比图3经典的模糊C均值聚类算法更好,数据点更集中,有若干点集中在聚类中心上。我们可以看右下角的数据点,改进后的模糊聚类算法将紫色的点和蓝色的点能清楚的分开,两个类之间的界限很明显而模糊C-均值算法分类的程度就不是很清晰,分别属于两个类的绿色的点和紫色的点几乎重合,可见类与类之问划分不清晰。图4改进算法后的目标函数图图2改进算法后的聚类效杲图喷笔签义,引入了重要参数-模糊加权因子,模糊加权因子的引入,使得数据空间中各数据点所具有的特大连大学学征优势不同,导致对距离的贡献也不同,这是两种距离定义方法的根本区别之处。并且用数据仿真验证了这种改进了的模糊聚类算法比原来的算法聚类更有效,分类更清晰,速度快。参考文献O一0年第五期[l} Timothy J.Ros.模糊逻辑及其工栏应用[M].北京:电子工业出版社,20032]鲁宇,范希鲁.模糊加权距离及其合理性讨论[J].北方交通大学学报,1990(2)[3]王士同、神经模糊系统及其应用[M].北京:北京航天航空大学出版社,1998(6)图5FCM目标函数图T 4 1 Kazutaka Umuyaharu, Saclaaki MiyarIulo and Yoshiteru图4的是改进算法后的目标函数图(引入模糊Nakamori, Formulations of Fuzzy Clustering for Categorical加权因子),图5是经典的模糊C-均值算法目Data, International Journal of Innovative ComputingInformation and Control(lICIC), vol 1, no, 1, pp 83标函数图。可以看出图4的函数曲线比图5的函94,2005(3)数曲线更加平滑,收敛速度快。[5 Hugang Han, Information System with Fuzzy Weights5结论Intermational Journal of Innovative Computing, Information本文讨论的是对模糊C-均值聚类算法的改and Control JICIC ) vol. 2, no 3, pp 553-565, 2006进,在原有的模糊C-均值算法的基础上,用一种6]吴晓莉,林哲辉.MAⅣLAB埔助模湖系统设计[M.西安:新的定义距离的方法替代欧氏空间中距离的定西安电子科技大学出版社,2002.Improvement of the Fuzzy C-Means Clustering AlgorithmWANG Ying-jie Wang, BAI Feng-bo, WANG Jin-hui(1. College of Information Engineering, Dalian University, Dalian, 116622, China2. MSPD, HiSoft Technology Intemational Ltd., Beijing, 100074, China3. Beijing Electromechanical Engineering Insitute, Beijing, 100074, ChinaAbstract: An improvement algorithm about the fuzzy c-means clustering algorithm is discussed in this paper. Basedon original fuzzy c -rneans clustering algorithm, the improvement algorithm uses a new way of defining distance todisplace the distance in Euclidean space. Experimental results show that the improvement algorithm is better thanal algurithm and the classification is clearer than original algKey words Fuzzy c-means algorithm; Fuzzy weighted distance; Fuzzy weighted factor
- 2020-12-07下载
- 积分：1
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数据挖掘18大算法实现以及其他相关经典DM算法
数据挖掘算法算法目录18大DM算法包名 目录名 算法名AssociationAnalysis DataMining_Apriori Apriori-关联规则挖掘算法AssociationAnalysis DataMining_FPTree FPTree-频繁模式树算法BaggingAndBoosting DataMining_AdaBoost AdaBoost-装袋提升算法Classification DataMining_CART CART-分类回归树算法Classification DataMining_ID3 ID3-决策树分类算法Classification Da
- 2020-12-12下载
- 积分：1
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vc++图像处理程序设计
vc++图像处理程序设计书各章源代码，北京交大杨淑莹编写。
- 2020-11-05下载
- 积分：1
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卡尔曼滤波在目标跟踪中的应用仿真
目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据,对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。下文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。里面包括三个源程序，和一份实验报告，里面有算法的详细分析和情景假设。
- 2020-12-10下载
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Vehicle Dynamics Theory and Application
不错的汽车动力学教材，是参与汽车底盘电子开发的动力学基础。Reza n. jazarVehicle DynamicsTheory and ApplicationsSpringerReza n. jazarDept of Mechanical EngineeringManhattan collegeRiverdale. NY 10471ISBN:978-0-387-74243-4e-ISBN:978-0-387-74244-1Library of Congress Control Number: 200794219c 2008 Springer Science+ Business Media, LLCAll rights reserved. This work may not be translated or copied in whole or in part without thewritten permission of the publisher(Springer Science+Business Media, LLC, 233 SpringStreet, New York, NY 10013, USA), except for brief excerpts in connection with reviews orscholarly analysis. Use in connection with any form of information storage and retrievalelectronic adaptation, computer software, or by similar or dissimilar methodology now knownor hereafter developed is forbidden. The use in this publication of trade names, trademarksservice marks and similar terms, even if they are not identified as such, is not to be taken as anexpression of opinion as to whether or not they are subject to proprietary rightsPrinted on acid-free paper987654321springer. comKavoshmy daughter, Vazan,and my wife, MojganHappiness is when you win a race against yourselfPrefaceThis text is for engineering students. It introduces the fundamental knowledge used in vehicle dymamics. This knowledge can be utilized to developcomputer programs for analyzing the ride, handling, and optimization ofroad vehiclesVehicle dynamics has been in the engineering curriculum for more thana hundred years. Books on the subject are available, but most of themare written for specialists and are not suitable for a classroom applicationA new student, engineer, or researcher would not know where and howto start learning vehicle dynamics. So, there is a need for a textbook forbeginners. This textbook presents the fundamentals with a perspective onfuture trendsThe study of classical vehicle dynamics has its roots in the work ofgreat scientists of the past four centuries and creative engineers in thepast century who established the methodology of dynamic systems. Thedevelopment of vehicle dynamics has moved toward modeling, analysisand optimization of multi-body dynamics supported by some compliantmembers. Therefore, merging dynamics with optimization theory was anexpected development. The fast-growing capability of accurate positioninsensing, and calculations, along with intelligent computer programming arethe other important developments in vehicle dynamics. So, a textbook helpthe reader to make a computer model of vehicles, which this book doesLevel of the bookThis book has evolved from nearly a decade of research in nonlineardynamic systems and teaching courses in vehicle dynamics. It is addressedprimarily to the last year of undergraduate study and the first year graduatestudent in engineering. Hence, it is an intermediate textbook. It providesboth fundamental and advanced topics. The whole book can be coveredin two successive courses, however, it is possible to jump over some sections and cover the book in one course. Students are required to know thefundamentals of kinematics and dynamics, as well as a basic knowledge ofnumerical methodsThe contents of the book have been kept at a fairly theoretical-practicallevel. Many concepts are deeply explained and their application empha-sized, and most of the related theories and formal proofs have been explained. The book places a strong emphasis on the physical meaning andapplications of the concepts. Topics that have been selected are of highinterest in the field. An attempt has been made to expose students to aPrefacebroad range of topics and approachese There are four special chapters that are indirectly related to vehicle dy-amics: Applied Kinematics, Applied Mechanisms, Applied dynamics, andApplied vibrations. These chapters provide the related background to understand vehicle dynamics and its subsystemsOrganization of the bookThe text is organized so it can be used for teaching or for self-studyChapter 1"Fundamentals, "contains general preliminaries about tire andrim with a brief review of road vehicle classificationsPart I"One Dimensional Vehicle Dynamics, " presents forward vehicledynamics, tire dynamics, and driveline dynamics. Forward dynamics refersto weight transfer, accelerating braking, engine performance, and gear ratiodesignPart II"Vehicle Kinematics, presents a detailed discussion of vehiclemechanical subsystems such as steering and suspensionsPart IIT"Vehicle Dynamics, employs Newton and Lagrange methodsto develop the maneuvering dynamics of vehiclesPart Iv "Vehicle Vibrations, presents a detailed discussion of vehi-cle vibrations. An attempt is made to review the basic approaches anddemonstrate how a vehicle can be modeled as a vibrating multiple degreeof-freedom system. The concepts of the Newton-Euler dynamics and La-grangian method are used equally for derivation of equations of motionThe RMS optimization technique for suspension design of vehicles is intro-duced and applied to vehicle suspensions. The outcome of the optimizationtechnique is the optimal stiffness and damping for a car or suspended equipmentMethod of presentationThis book uses a fact-reason-application"structure. The "fact"is themain subject we introduce in each section. Then the reason is given as a" proof. The application of the fact is examined in some examples. Theexamplesare a very important part of the book because they show howto implement the facts. They also cover some other facts that are neededto expand the subjectPrerequisitesSince the book is written for senior undergraduate and first-year graduatelevel students of engineering, the assumption is that users are familiar withmatrix algebra as well as basic dynamics. Prerequisites are the fundamentals of kinematics, dynamics, vector analysis, and matrix theory. Thesebasics are usually taught in the first three undergraduate yearsPrefaceUnit SystemThe system of units adopted in this book is, unless otherwise stated, theinternational system of units(SI). The units of degree(deg)or radian(rad)are utilized for variables representing angular quantitiesSymbolse Lowercase bold letters indicate a vector. Vectors may be expressed inan n dimensional Euclidian space. ExamplerCUppercase bold letters indicate a dynamic vector or a dynamic matrix, such as force and moment. ExampleFo Lowercase letters with a hat indicate a unit vector. Unit vectors arenot bolded. ExampleLowercase letters with a tilde indicate a 3 x 3 skew symmetric matrixassociated to a vector. Examplea3211An arrow above two uppercase letters indicates the start and endpoints of a position vector. ExampleON = a position vector from point o to point Ne The length of a vector is indicated by a non-bold lowercase letterExampleCapital letter B is utilized to denote a body coordinate frame. ExampleB(ocgB(Oxyz)B1(o1x19121)ⅹ11PrefaceCapital letter G is utilized to denote a global, inertial, or fixed coordinate frame. ExampleG(XYZG(OXYZRight subscript on a transformation matrix indicates the departureframes. ExampleRB= transformation matrix from frame B(oxyz)Left superscript on a transformation matrix indicates the destinationframe. ExampleRBtransformation matrix from frame B(o cgz)to frame G(OxYZ)Capital letter R indicates rotation or a transformation matrix, if itshows the beginning and destination coordinate frames. Example0BSIn a0Whenever there is no sub or superscript, the matrices are shown in abracket. ExampleCOS asin a osIn aCOs O0e Left superscript on a vector denotes the frame in which the vectoris expressed. That superscript indicates the frame that the vectorbelongs to; so the vector is expressed using the unit vectors of thatEr= position vector expressed in frame G(OXYZ)Right subscript on a vector denotes the tip point that the vector isreferred to. ExamplePsition vector ofexpressed in coordinate frame G(OXYZ)Right subscript on an angular velocity vector indicates the frame thatthe angular vector is referred to. ExampleB= angularof the body coordinate frame B(oxyz)
- 2020-12-12下载
- 积分：1
