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实用的C6000系列DSP的CSL库函数大全，包含所有的CSL库函数，英文原版TMTMspecial typefaceTMTMMTMT

根据上次的点云粗配准，对点云进行完全配准，并且计算分析误差。主要包括NDT、3Dsc、FPFH、PFH几种算法比较。

最新版本的驱动。开发工控程序时使用自由口协议比较麻烦，效率也不高，PPI的协议要么付费要么不公开要么不好用，在网上找了一下也没捷径，算了，自己搞，经过1个礼拜的劳作，用VC搞了此DLL用于西门子S7-200 PLC的通信，在vc，delphi，vb，C#.NET平台进行测试，效果不错啊，开发效率提高数倍，特此与爱好者分享，附带源码，独家奉献：

在论坛上搜了一些matlab人工势场法程序，但很多都有一些问题，比如目标不可达，角度计算错误等等。在这些的基础上，我进行了改进，使得能够更好地到达目标点，减少了震荡，但是依旧会出现几次震荡，愿高手继续完善。程序可以用C写出来，做机器人路径规划或者避障的同学，该文档有很高的参考性。

一套关于指纹识别的，我带的本科生毕业设计，现在发上来给大家共享，有这方面研究的绝对是好材料。程序中有指纹图像的归一化，图像分割，图像增强，方向图，细化，特征提取，伪特征去除，特征匹配等等。

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)

优秀论文及配套源码。Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最终用瞬时频率和能量来表征原信号的频率含量。 本文研究了基于HHT的暂态电能质量扰动检测方法，介绍了H

【实例简介】《MATLAB 神经网络43个案例分析》目录 第1章 BP神经网络的数据分类——语音特征信号分类 第2章 BP神经网络的非线性系统建模——非线性函数拟合 第3章 遗传算法优化BP神经网络——非线性函数拟合 第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优 第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模 第6章 PID神经元网络解耦控制算法——多变量系统控制 第7章 RBF网络的回归--非线性函数回归的实现 第8章 GRNN网络的预测----基于广义回归神经网络的货运量预测 第9章 离散Hopfield神经网络的联想记忆——数字识别 第10章 离散Hopfield神经网络的分类——高校科研能力评价 第11章 连续Hopfield神经网络的优化——旅行商问题优化计算 第12章 初始SVM分类与回归 第13章 LIBSVM参数实例详解 第14章 基于SVM的数据分类预测——意大利葡萄酒种类识别 第15章 SVM的参数优化——如何更好的提升分类器的性能 第16章 基于SVM的回归预测分析——上证指数开盘指数预测. 第17章 基于SVM的信息粒化时序回归预测——上证指数开盘指数变化趋势和变化空间预测 第18章 基于SVM的图像分割-真彩色图像分割 第19章 基于SVM的手写字体识别 第20章 LIBSVM-FarutoUltimate工具箱及GUI版本介绍与使用 第21章 自组织竞争网络在模式分类中的应用—患者癌症发病预测 第22章 SOM神经网络的数据分类--柴油机故障诊断 第23章 Elman神经网络的数据预测----电力负荷预测模型研究 第24章 概率神经网络的分类预测--基于PNN的变压器故障诊断 第25章 基于MIV的神经网络变量筛选----基于BP神经网络的变量筛选 第26章 LVQ神经网络的分类——乳腺肿瘤诊断 第27章 LVQ神经网络的预测——人脸朝向识别 第28章 决策树分类器的应用研究——乳腺癌诊断 第29章 极限学习机在回归拟合及分类问题中的应用研究——对比实验 第30章 基于随机森林思想的组合分类器设计——乳腺癌诊断 第31章 思维进化算法优化BP神经网络——非线性函数拟合 第32章 小波神经网络的时间序列预测——短时交通流量预测 第33章 模糊神经网络的预测算法——嘉陵江水质评价 第34章 广义神经网络的聚类算法——网络入侵聚类 第35章 粒子群优化算法的寻优算法——非线性函数极值寻优 第36章 遗传算法优化计算——建模自变量降维 第37章 基于灰色神经网络的预测算法研究——订单需求预测 第38章 基于Kohonen网络的聚类算法——网络入侵聚类 第39章 神经网络GUI的实现——基于GUI的神经网络拟合、模式识别、聚类 第40章 动态神经网络时间序列预测研究——基于MATLAB的NARX实现 第41章 定制神经网络的实现——神经网络的个性化建模与仿真 第42章 并行运算与神经网络——基于CPU/GPU的并行神经网络运算 第43章 神经网络高效编程技巧——基于MATLAB R2012b新版本特性的探讨

此函数用于将rgb图像转为hsi图像并显示出rgb图、灰度图、hsi图 ，输入：JPG或JPEG或BMP等一般图片名称（加后缀），输出：rgb图、灰度图、hsi图，返回值：hsi矩阵