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[Other] INTRODUCTION TO MATLAB FOR DL : 0: 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
Update : 2012-02-26 Size : 252.23kb Publisher : taffy320
[matlab] digital transmission DL : 0: 这是一个完整的数据传输过程的matlab例程!-This is a complete data transmission process Matlab routines!
Update : 2025-02-19 Size : 7kb Publisher : 张毓芬
[matlab] B.P.Lathi-Matlab DL : 0: matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。-Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version.
Update : 2025-02-19 Size : 17kb Publisher : fan
[Compress-Decompress algrithms] huffman_en_decode DL : 0: 霍夫曼编译码，对数据文件中的字符进行统计，根据概率进行编码，并实现对数据文件压缩和解压缩过程-Huffman encoding and decoding of data files characters in statistics, according to the probability of encoding, and data files to achieve compression and decompression process
Update : 2025-02-19 Size : 5kb Publisher : 董婷婷
[matlab] aqsesGUI.tar DL : 0: The aqsesGUI software is a software package for processing Magnetic Resonance Spectroscopy signals. The software contains methods to load, preprocess and process MRS data.
Update : 2025-02-19 Size : 5.08mb Publisher : kedle
[File Format] Matlab+Word DL : 0: Matlab是功能强大的工程计算和数据分析软件，Word是一个功能强大的文字处理软件。通过二者结合，可以在Word中实现数据可视化操作，并很方便地在科技报告、论文和专著的写作中实现图文并茂；再通过MATLAB软件在土工试验数据处理方面应用过程的探索，介绍一种新型的数据处理软件，为今后的试验数据处理提供一种新的思路。-Matlab is a powerful engineering calculations and data analysis software, Word is a powerful word processing software. Through a combination of both, you can realize in the Word data visualization in operation and easy in science and technology reports, papers and monographs Writing realize illustrations through MATLAB software in the soil test data-processing application of the process of exploration, introduction 1 kinds of new data processing software, in order to deal with future experimental data provide a new way of thinking.
Update : 2025-02-19 Size : 47kb Publisher : haodashi
[Graph program] TE-model DL : 0: 化工过程TE平台多尺度PCA建模程序，适用于微小扰动的检测-TE platform for chemical process modeling procedures for multi-scale PCA, applied to the detection of minor disturbances
Update : 2025-02-19 Size : 3kb Publisher : 张灏
[Other systems] 2008-2-14SeismicLab DL : 0: 地震勘探分析软件-seismic data process
Update : 2025-02-19 Size : 464kb Publisher : 胡刚
[Other] biplot_fig DL : 0: 生物信息，数据预处理，去批次去实验室条件-bioinformatics data process
Update : 2025-02-19 Size : 8.85mb Publisher : wangqing
[Other] matlab-yinyue DL : 0: 学习matlab，用c语言读wav格式的必备资料；自己写的寻找一组数据的峰值点程序，提取信号包络的程序，小波工具箱-Learning matlab, using c language read wav format necessary information their search for a set of data written in the peak-point program, extract the signal envelope of the process, wavelet toolbox
Update : 2025-02-19 Size : 15.14mb Publisher : 李娜
[matlab] bpsk DL : 0: 二相相移键控（BPSK）调制解调过程的MATLAB仿真实现。ASK、FSK、PSK这三种数字调制方式在抗干扰噪声能力和信号频谱利用率等方面，以相干PSK的性能最好，目前已在中、高速传输数据时得到广泛应用。-Binary phase shift keying (BPSK) modulation and demodulation process, MATLAB Simulation. ASK, FSK, PSK modulation in the three digital noise interference and signal spectrum efficiency, etc., to the best performance of coherent PSK, is now in the middle and high-speed transmission data are widely used.
Update : 2025-02-19 Size : 22kb Publisher : 秋田
[matlab] system-identification_Project DL : 0: system identification, ARX Model, Control engineering, Data Proce-system identification, ARX Model, Control engineering, Data Process
Update : 2025-02-19 Size : 182kb Publisher : hasan
[matlab] data-process DL : 0: 主要是硕士期间要用到的基本的统计的matlab数据处理命令的介绍-Mainly during use to master the basic statistical data processing matlab command description
Update : 2025-02-19 Size : 293kb Publisher : shaojiang
[matlab] matlab DL : 0: 电晕电流数据处理,对于信号处理可以方便应用-corona current data process
Update : 2025-02-19 Size : 11kb Publisher : 杨琪
[matlab] Geographic-data-analysis-Matlab DL : 1: 代码基于Matlab软件，讲述了大量数学方法的应用思路和过程。内容涉及回归分析、主成分分析、因子分析、聚类分析、判别分析、时（空）间序列分析、Markov链、R/S分析、线性规划、层次分析法以及人工神经网络建模等方法。通过模仿本书讲授的计算过程，读者可以加深对有关数学方法的认识和理解，并且掌握很多Matlab的应用技巧。代码规范，可研究价值高。　-Code based on the Matlab software, tells the story of a large number of mathematics method of thinking and process applications.Content in regression analysis, principal component analysis, factor analysis, cluster analysis, discriminant analysis, the (empty) sequence analysis, Markov chains, R/S analysis, linear programming, analytic hierarchy process (ahp) method and artificial neural network modeling, etc.By imitating the calculation process of this book teaches, readers can deepen the understanding and the understanding to the related mathematical methods, and master a lot of Matlab application skills.Code standards, it is with high research value.
Update : 2025-02-19 Size : 43kb Publisher : 张开洲
[Software Engineering] OPC-based-data--between-Matlab DL : 0: Manab OPC(OLE for Process Contr01)T001box提供了一种服务器和客户端互访的通用机制，应用于0PC客户端数据访问，通过OPC Toolbox可以连接任何一个OPC数据访问服务器，方便地对连接的0PC服务器的数据进行读写，每个0PC数据访问服务器由唯一的ID号来确定，每个OPC数据访问服务器。由0PC数据访问服务器所在机器的主机名和ID号组成其在网络中唯一确定的身份-Manab OPC (OLE for Process Contr01) T001box provides a general mechanism for server and client visits, applies 0PC client data access via OPC Toolbox can be connected to any one of the OPC Data Access Server, conveniently connected 0PC server read and write data, each 0PC Data Access Server is determined by a unique ID number for each OPC Data Access Server. By 0PC Data Access server machine host name and ID number to determine the composition of its unique status in the network
Update : 2025-02-19 Size : 322kb Publisher : 刘胸毛
[matlab] MATLAB DL : 0: 物理里面进行数据处理，线性拟合，非线性拟合。画图分析的小李子-data process
Update : 2025-02-19 Size : 8kb Publisher : zhangtao
[Other] MATLAB-and-SIMULINK- DL : 0: matlab与simulink通信系统建模与仿真实例分析。本書系統地介紹了通信建模仿真方法和模型驗證技術，並結合作者近年在教學科研中所設計的大量基礎的和較深入的建模仿真實例，詳細討論了Matlab/Simulink作為仿真實現平台在電子與通信工程中應用的基本方法、技巧和難點。本書重點討論了建模仿真原理和相關的數值計算方法、模擬通信系統、模數轉換、調製與編碼、信道模擬、載波與符號同步、信道均衡、跳頻系統和直接擴頻系統、通信模型正確性評估、仿真數據驗證和數據處理技術等內容，並在仿真實例中展示了科學研究論文和報告所必須的數據處理和表現技巧。本書提供了約150個建模仿真實例，80多道思考題，以及全部實例代碼和一個電子教案。這些實例根據基本數學原理，結合Simulink的S函數編程，也使用了通信工具箱、信號處理工具箱和相關模型庫的模塊和函數，以便於讀者追源求本，深入理解建模和仿真的實質。本書可作為高等院校通信工程、電子信息類專業的本科生和研究生系統仿真課程的教材或進行相關課題研究的參考書，也可作為相關專業課程設計和畢業設計等綜合性實踐教學的指導材料，還可供通信工程專業技術人員、教師等作為解決通信系統設計、評估和建模仿真領域實際問題的參考資料。-matlab and simulink communications system modeling and simulation case study. This book describes the methods and models of communication modeling and simulation verification technology, combined with the author in recent years in teaching and research in the design of a large number of basic and more in-depth modeling and simulation examples are discussed in detail Matlab/Simulink Simulation as an electronic platform the basic method of communicating with the project application, skills and difficulties. This book focuses on the modeling and simulation, and the related numerical methods, analog communication system, analog to digital conversion, modulation and coding, channel simulation, carrier and symbol synchronization, channel equalization, frequency hopping spread spectrum system and direct system, a communication model is correct content uation, simulation, data validation and data processing technology, and scientific research papers and reports show the necessary data process
Update : 2025-02-19 Size : 7.53mb Publisher : xinyan
[Oracle] Data-process-MatLab DL : 0: 一款应用于数据库的MATLAB数据处理程序，能批处理oracle数据并仿真运行结果。-MATLAB is applied to a data processing program , can batch oracle data and the simulation results.
Update : 2025-02-19 Size : 99kb Publisher : 徐进
[matlab] data process model DL : 0: matlab data process model
Update : 2025-02-19 Size : 491kb Publisher : codyboxia

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