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[OtherINTRODUCTION TO MATLAB FOR

Description: 1 Tutorial lessons 1 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Basic features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 A minimum MATLAB session . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3.1 Starting MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3.2 Using MATLAB as a calculator . . . . . . . . . . . . . . . . . . . . . 4 1.3.3 Quitting MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4 Getting started . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4.1 Creating MATLAB variables . . . . . . . . . . . . . . . . . . . . . . . 5 1.4.2 Overwriting variable . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4.3 Error messages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4.4 Making corrections . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4.5 Controlling the hierarchy of operations or precedence . . . . . . . . . 6 1.4.6 Controlling the appearance of °oating point number . . . . . . . . . . 8 1.4.7 Managing the workspace . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.4.8 Keeping track of your work session . . . . . . . . . . . . . . . . . . . 9 1.4.9 Entering multiple statements per line . . . . . . . . . . . . . . . . . . 9 1.4.10 Miscellaneous commands . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.4.11 Getting help . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.5 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2 Tutorial lessons 2 12 2.1 Mathematical functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.1.1 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.2 Basic plotting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.2.1 overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.2.2 Creating simple plots . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.2.3 Adding titles, axis labels, and annotations . . . . . . . . . . . . . . . 15 2.2.4 Multiple data sets in one plot . . . . . . . . . . . . . . . . . . . . . . 16 2.2.5 Specifying line styles and colors . . . . . . . . . . . . . . . . . . . . . 17 2.3 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 2.4 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5 Matrix generation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5.1 Entering a vector . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5.2 Entering a matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 2.5.3 Matrix indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 2.5.4 Colon operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.5.5 Linear spacing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.5.6 Colon operator in a matrix . . . . . . . . . . . . . . . . . . . . . . . . 22 2.5.7 Creating a sub-matrix . . . . . . . . . . . . . . . . . . . . . . . . . . 23 2.5.8 Deleting row or column . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.5.9 Dimension . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.5.10 Continuation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.5.11 Transposing a matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.5.12 Concatenating matrices . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.5.13 Matrix generators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 2.5.14 Special matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 2.6 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 3 Array operations and Linear equations 30 3.1 Array operations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3.1.1 Matrix arithmetic operations . . . . . . . . . . . . . . . . . . . . . . . 30 3.1.2 Array arithmetic operations . . . . . . . . . . . . . . . . . . . . . . . 30 3.2 Solving linear equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 3.2.1 Matrix inverse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.2.2 Matrix functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 3.3 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 4 Introduction to programming in MATLAB 35 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4.2 M-File Scripts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4.2.1 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 4.2.2 Script side-eRects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 4.3 M-File functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.3.1 Anatomy of a M-File function . . . . . . . . . . . . . . . . . . . . . . 38 4.3.2 Input and output arguments . . . . . . . . . . . . . . . . . . . . . . . 40 4.4 Input to a script ¯le . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 4.5 Output commands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 4.6 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 5 Control °ow and operators 43 5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 5.2 Control °ow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 5.2.1 The ``if...end'' structure . . . . . . . . . . . . . . . . . . . . . . . 43 5.2.2 Relational and logical operators . . . . . . . . . . . . . . . . . . . . . 45 5.2.3 The ``for...end'' loop . . . . . . . . . . . . . . . . . . . . . . . . . 45 5.2.4 The ``while...end'' loop . . . . . . . . . . . . . . . . . . . . . . . 46 5.2.5 Other °ow structures . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 5.2.6 Operator precedence . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 5.3 Saving output to a ¯le . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 5.4 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 6 Debugging M-¯les 49 6.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 6.2 Debugging process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 6.2.1 Preparing for debugging . . . . . . . . . . . . . . . . . . . . . . . . . 50 6.2.2 Setting breakpoints . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 6.2.3 Running with breakpoints . . . . . . . . . . . . . . . . . . . . . . . . 50 6.2.4 Examining values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 6.2.5 Correcting and ending debugging . . . . . . . . . . . . . . . . . . . . 51 6.2.6 Ending debugging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 6.2.7 Correcting an M-¯le . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Platform: | Size: 258288 | Author: taffy320 | Hits:

[matlabPBGBand

Description: matlab的光子晶体的能带计算程序,采用的是通用的平面波展开法。-Matlab photonic crystals can take computational procedures, using the common plane wave expansion method.
Platform: | Size: 2048 | Author: 王芳 | Hits:

[AI-NN-PRRBF(MATLAB)

Description: RBF神经网络 MATLAB源程序 结构很好 可以借鉴-RBFNN MATLAB source structure can learn from the good
Platform: | Size: 1024 | Author: 李博 | Hits:

[matlabsiling-mode-variable-structure

Description: 在MATLAB环境下,利用滑膜变结构控制对直线二级倒立摆进行仿真调试。广泛应用于滑膜控制系统的研究。-in MATLAB environment, the use of synovial variable structure control of two straight inverted pendulum simulation debugging. Widely used in synovial control systems.
Platform: | Size: 4096 | Author: guozhao | Hits:

[Graph programMatlab-source

Description: 精通MATLAB综合辅导与指南的配套磁盘程序,本书介绍了MATLAB一般原理和基本运算,重点介绍了MATLAB图形用户界面的结构和使用方法,包括二维、三维图形的控制、色彩的配置、用户专用界面的创建。-Proficient in MATLAB comprehensive guide to counseling and supporting disk procedures, this book introduces MATLAB general principles and basic computing, focuses on the MATLAB graphical user interface structure and the use of methods, including two-dimensional, three-dimensional graphics control, color configuration, user-specific interface to create.
Platform: | Size: 71680 | Author: 马踏 | Hits:

[Algorithmlagrangepolynomial

Description: 数值分析中的拉格朗日算法,函数构造比较简单。matlab程序编写。-Numerical Analysis of Lagrangian algorithm, function of relatively simple structure. matlab programming.
Platform: | Size: 1024 | Author: liutao | Hits:

[Speech/Voice recognition/combineLMS-MATLAB

Description: 介绍了基于最小均方算法(LMS 算法) 的自适应均衡器的原理和结构,针对用硬件实现LMS 算法的自适应均衡器存在的诸多缺点,利用MATLAB 工具对各种结构形式的自适应均衡器在不同 信道模型下的收敛速度和精度进行仿真,并介绍了该仿真程序。-Introduction based on the least mean square algorithm (LMS algorithm) of the adaptive equalizer of the principles and structure, for hardware implementation using LMS adaptive equalizer algorithms exist many drawbacks, the use of MATLAB tools for a variety of structural forms of adaptive equalizer channel model in different convergence speed and accuracy of simulation, and introduction of the simulation program.
Platform: | Size: 191488 | Author: | Hits:

[matlab利用matlab软件和fdtd方法来算三维结构的程序

Description: FDTD方法计算三维结构的程序,用Matlab编写的。通用性很好。-FDTD method of three-dimensional structure of the procedure, using Matlab prepared. Universal good.
Platform: | Size: 2048 | Author: sdtabinbin | Hits:

[matlabmatlab

Description: 一个开源的解剖结构提取程序 用的是区域生长算法及理论 代码在 www.itk.org 的itk包里-Anatomical structure of an open source extraction procedure is used in region growing algorithm and the theory of itk code www.itk.org bag
Platform: | Size: 12288 | Author: zhourl | Hits:

[AI-NN-PRmatlab

Description: matlab LMBP算法网络结构优化的新方法 人工神经网络-matlab LMBP network structure optimization algorithm new method of artificial neural network
Platform: | Size: 311296 | Author: YangRui | Hits:

[CommunicationEigenstructureFDI

Description: eigen structure analisis
Platform: | Size: 20480 | Author: badre | Hits:

[matlab16QM_viterbi_hard

Description: 通信中的tcm&16qam体制的研究,matlab源程序代码,采用viterbi应判决译码-Communication tcm & 16qam study of the structure, matlab source code, used to be decision viterbi decoding
Platform: | Size: 5120 | Author: 随风 | Hits:

[matlabMatlab_FEM_Program_Code

Description: 结构有限元,基本梁单元、板单元等,线性计算-structure FEM program
Platform: | Size: 41984 | Author: tuxi | Hits:

[OtherMATLAB

Description: 本书第一章系统讲述 MATLAB6.5 的集成工作平台,引导读者初会MATLAB 基本用法。第二、三章系统叙述MATLAB6.1 的四大基本数据类型(数值数组、字符串数组、元胞数组、构架数组),至于其它扩展数据类型(函数句柄、符号数据、内联函数、unit 数组、稀疏类)则另辟章节专述。此后,本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK 的分层建模、仿真功能、与MATLAB 交互的功能。 全书包含 390 多个计算范例。所有算例的程序是可靠、完整的。读者可以在自己的MATLAB 环境中完全准确地重现本书所提供的算例结果。算例的举一反三,将使读者很快掌握要领,从模仿走向灵活应用。-This book chapter describes the system integration MATLAB6.5 work platform, the reader will be the beginning of the basic use of MATLAB. Second, the four chapters, system, MATLAB6.1 basic data types (numeric arrays, strings, arrays, cell arrays, structure arrays), while the other extended data types (function handle, symbol data, inline functions, unit array , sparse class) are separate sections above. Since then, the book points out with nine separate chapters MATLAB6.5 of numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone applications generated, to achieve interaction of different software platforms API, M-book data, graphical environment for integration of the eight general-purpose language Function. Book with a special chapter in layman s language to clarify the hierarchical SIMULINK modeling, simulation, and the MATLAB interactive features. The book contains more than 390
Platform: | Size: 3457024 | Author: 小天 | Hits:

[matlabMATLAB

Description: 我的matlab实验 MATLAB运算基础 选择结构程序设计 循环结构程序设计 函数文件 高层绘图操作 数据处理与多项式计算 数值微积分与方程数值求解 符号计算基础与符号微积分-My matlab choice experiment based on the structure MATLAB programming operations structured programming cycle function file data processing and high-level drawing operations polynomial equation calculated with numerical integration and numerical solution based on symbolic computation and symbol calculus
Platform: | Size: 21504 | Author: 刘英 | Hits:

[Special Effectspyramid-structure

Description: 随着遥感影像数据量变得越来越大, 为了提高图像实时缩放和显示的速度, 快速地获取不同分辨率下的图像信息, 往往会对原始图像建立金字塔结构, 根据不同的显示要求, 调用不同金字塔等级中的数据, 来达到快速显示、漫游的目的。-With the amount of remote sensing data become more and more, in order to improve image scaling and display real-time speed, quick access to different resolutions of the image information, may often create the original image pyramid structure, depending on display requirements, call the different pyramid level data, to achieve rapid display, roaming purposes.
Platform: | Size: 1024 | Author: huwanyuan | Hits:

[Windows Mobilewsn-simulation-in-matlab

Description: Wireless Sensor Networks (WSN) is different than the Cellular Networks as I mentioned earlier. A WSN is composed of a large number of sensor nodes that communicate using a wireless medium (air). The sensor nodes are deployed randomly in the environment to be monitored. The sensor nodes distributed in ad hoc structure. In WSN there is no base station and not all nodes hear each other. The WSN is a multi-hop network. Basic part of my code is to randomly place the sensor nodes in the given space then connecting each two nodes if the distance between them less than or equal to the communication radius.
Platform: | Size: 41984 | Author: khala | Hits:

[matlabmatlab-functions

Description: :在有限区域内分布的稀疏不均的、具有一定分布结构的海量数据集的高效、高精度聚 类问题是一个尚未完全圆满解决的难题。针对Affinity Propagation 聚类算法(AP)的不足之处, 提出了两个改进型的聚类算法-n limited areas of uneven distribution of sparse, has certain distribution structure of the mass datasets of high efficiency, high precision together Problem is a perfectly solved problem has not yet completely. For Affinity Propagation clustering algorithm (AP) of the deficiencies, Put forward the two improved version of the clustering algorithm
Platform: | Size: 9216 | Author: 李会清 | Hits:

[matlabMatlab-component--in-Optisystem

Description: Matlab component,Creating a component to handle optical signals in Optisystem -In order to create an optical component in Matlab for co-simulation with OptiSystem, first we need to understand the optical signal format that OptiSystem can generate and the structure of that signal launched into the Matlab workspace. Following is an example to create an Optical Attenuator using the Matlab component. In this example, first we introduce the signal format in OptiSystem, and then we show how to use Matlab to process that signal.
Platform: | Size: 609280 | Author: wenhs | Hits:

[Documentsmatlab文件读写程序的汇总

Description: 此函数读取数据时,并不是把不同的数据放在单独的向量内,而是统一放在一个列向量中,这样,当读取多于一个量时,需要按结构取相应的数据得到每个变量(This function reads the data, not the different data on a single vector, but unified on a column vector, so when reading more than one amount, need to get the corresponding data according to each variable structure)
Platform: | Size: 56320 | Author: 日常 | Hits:
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