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Description: Radar Signal Analysis and Processing Using MATLAB is written so that it can be used as a reference book or as a textbook for two graduate level courses with emphasis on signals and signal processing. Instructors using this book as a text may choose the following chapter breakdown for their curriculum. Chap- ters 1 through Chapter 7 can be used for the first course, while Chapters 8 through 11 may be used for the second course. Chapter 11 (Target Tracking), Chapter 12 (Synthetic Aperture Radar), and Chapter 13 (Radar Cross Section) (R) from my other book Radar Systems Analysis and Design Using MATLAB may also be used to supplement both courses.
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Description: 1 MATLAB 2 2 Starting Up 2 2.1 Windows Systems . . . . . . . . . . 2 2.2 Unix Systems . . . . . . . . . . . . . 2 2.3 Command Line Help . . . . . . . . . 2 2.4 Demos . . . . . . . . . . . . . . . . . 3 3 Matlab as a Calculator 3 4 Numbers & Formats 3 5 Variables 3 5.1 Variable Names . . . . . . . . . . . . 3 6 Suppressing output 4 7 Built{In Functions 4 7.1 Trigonometric Functions . . . . . . . 4 7.2 Other Elementary Functions . . . . . 4 8 Vectors 4 8.1 The Colon Notation . . . . . . . . . 5 8.2 Extracting Bits of a Vector . . . . . 5 8.3 Column Vectors . . . . . . . . . . . . 5 8.4 Transposing . . . . . . . . . . . . . . 5 9 Keeping a record 6 10 Plotting Elementary Functions 6 10.1 Plotting|Titles & Labels . . . . . . 7 10.2 Grids . . . . . . . . . . . . . . . . . . 7 10.3 Line Styles & Colours . . . . . . . . 7 10.4 Multi{plots . . . . . . . . . . . . . . 7 10.5 Hold . . . . . . . . . . . . . . . . . . 7 10.6 Hard Copy . . . . . . . . . . . . . . 8 10.7 Subplot . . . . . . . . . . . . . . . . 8 10.8 Zooming . . . . . . . . . . . . . . . . 8 10.9 Formatted text on Plots . . . . . . . 8 10.10Controlling Axes . . . . . . . . . . . 9 11 Keyboard Accelerators 9 12 Copying to and from Word and other applications 10 12.1 Window Systems . . . . . . . . . . . 10 12.2 Unix Systems . . . . . . . . . . . . . 10 13 Script Files 10 14 Products, Division & Powers of Vectors 11 14.1 Scalar Product (*) . . . . . . . . . . 11 14.2 Dot Product (.*) . . . . . . . . . . . 11 14.3 Dot Division of Arrays (./) . . . . . 12 14.4 Dot Power of Arrays (.^) . . . . . . 12 15 Examples in Plotting 13 16 Matrices|Two{Dimensional Arrays 13 16.1 Size of a matrix . . . . . . . . . . . . 14 16.2 Transpose of a matrix . . . . . . . . 14 16.3 Special Matrices . . . . . . . . . . . 14 16.4 The Identity Matrix . . . . . . . . . 14 16.5 Diagonal Matrices . . . . . . . . . . 15 16.6 Building Matrices . . . . . . . . . . . 15 16.7 Tabulating Functions . . . . . . . . . 15 16.8 Extracting Bits of Matrices . . . . . 16 16.9 Dot product of matrices (.*) . . . . 16 16.10Matrix{vector products . . . . . . . 16 16.11Matrix{Matrix Products . . . . . . . 17 16.12Sparse Matrices . . . . . . . . . . . . 17 17 Systems of Linear Equations 18 17.1 Overdetermined system of linear equations . . . . . . . . . . . . . . . . . . 18 18 Characters, Strings and Text 20 19 Loops 20 20 Logicals 21 20.1 While Loops . . . . . . . . . . . . . . 22 20.2 if...then...else...end . . . . . . 23 21 Function m{ les 23 21.1 Examples of functions . . . . . . . . 24 22 Further Built{in Functions 25 22.1 Rounding Numbers . . . . . . . . . . 25 22.2 The sum Function . . . . . . . . . . . 25 22.3 max & min . . . . . . . . . . . . . . . 26 22.4 Random Numbers . . . . . . . . . . 26 22.5 find for vectors . . . . . . . . . . . . 27 22.6 find for matrices . . . . . . . . . . . 27 23 Plotting Surfaces 27 24 Timing 28 25 On{line Documentation 29 26 Reading and Writing Data Files 29 26.1 Formatted Files . . . . . . . . . . . . 30 26.2 Unformatted Files . . . . . . . . . . 30 27 Graphic User Interfaces 31 28 Command Summary 32
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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
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Description: 《MATLAB 7.0编程基础》第8章 （源码实例）主要讲解MATLAB图形用户界面设计-"MATLAB 7.0 programming foundation" Chapter 8 (source code examples) mainly on MATLAB graphical user interface design
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Author: sunlight68 |
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Description: DNA限制性图谱的绘制方案程序
％采用改进的穷举法搜索DNA片段排序，data1,data2是传进来的两组数据，由SPDP法中测得
％例如data1=[1 14 12 3 7 8 9 6 11 4 12 3 13 2 5 10] data2=[1 1 2 1 2 2 1 2 3] -restrictive map of the DNA mapping program procedures% of the improved method of exhaustion search DNA fragment sequencing, data1, data2 are two groups of Scientology, by the law of 1.0% measured for example data1 = [1 14 12 3 7 8 9 6 11 4 12 3 13 2 5 1 0] data2 = [1 1 2 1 2 2 1 2 3]
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Author: mmcc |
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Description: 基于神经网络算法，构建了一个三层的bp网络，用来识别5，6，7，8，9五个数字，在matlab环境下运行成功，对于了解神经网络控制算法很有帮助,并附有训练和测试数据-Based on neural network algorithm, to build a three-bp network, used to identify five digits 5,6,7,8,9, in the matlab environment running successfully, for the understanding of neural network control algorithm helpful, together with training and test data
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Author: ison |
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Description: 车间调度（matlab）.rar
1、初始化参数： 族群 60，循环500次，交叉0。8 变异 0。6 代沟0。9
2、初始化群：按调度优先级编码，比如 3个零件，每个零件3个工序，就初始化：
1、3、4、5、6、7、8、9、2
2、1、3、4、5、6、7、8、9 等等
-Shop scheduling (matlab). Rar 1, initialization parameters: group 60, the cycle 500 times, cross 0.8 Variation 0.6 generation gap 0.9 2, initialization group: by scheduling priority encoding, for example, three parts , three processes for each part, on the initialization: 1,3,4,5,6,7,8,9,2 2,1,3,4,5,6,7,8,9, etc.
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Author: 李劲 |
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Description: 1) Write a function reverse(A) which takes a matrix A of arbitrary dimensions as input and returns a matrix B consisting of the columns of A in reverse order. Thus for example, if
A = 1 2 3 then B = 3 2 1
4 5 6 6 5 4
7 8 9 9 8 7
Write a main program to call reverse(A) for the matrix A = magic(5). Print to the screen both A and reverse(A).
2) Write a program which accepts an input k from the keyboard, and which prints out the smallest fibonacci number that is at least as large as k. The program should also print out its position in the fibonacci sequence. Here is a sample of input and output:
Enter k>0: 100
144 is the smallest fibonacci number greater than or equal to 100.
It is the 12th fibonacci number.
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Author: wangshujuan |
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Description: 浅析VC与matlab接口编程,浅析VC与MATLAB联合编程<一>、<二>,<三>部分中，简单介绍了VC和MATLAB接口的两种方法，初学者可能会问为什么要用VC和MATLAB接口，接口的实质又是什么。<四>到<六>举例和讲解一些难点。<七><八>——编译器的使用。<九>——综合举例-Analysis of VC with matlab interface programming, VC Analysis of joint programming with MATLAB < 1> , " b> ," three> part, the simple introduction of the VC and the MATLAB interface in two ways, beginners may want to ask why with VC and MATLAB interface, interface in real terms what is. < D> to " 6> , for example, and explain some of the difficulties. < 7> < 8> - the use of the compiler. < 9> - Comprehensive example
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Author: disence |
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Description: matlab7.8入门指导 matlab7.8入门指导 -Getting Started matlab7.8 guidance. pdf
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Author: 王先生 |
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Description: 开发环境：
Matlab Version 7.8.0.347(R2009a)
Visual Studio 2005(.NET 2.0, C#)
演示如何在ASP.NET(C#)网页中调用MATLab函数的例子。-Development Environment: Matlab Version 7.8.0.347 (R2009a) Visual Studio 2005 (. NET 2.0, C#) to demonstrate how in ASP.NET (C#) page MATLab function call example.
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Author: teralink |
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Description: 本实验要求开发一个基本的哈尔小波变换程序包，用于后续的实验。实验中使用哈尔基函数特有的“平均”与“差分”方法。首先要编写一个计算哈尔小波的j-尺度离散小波变换程序。并且要编写一个计算哈尔小波的j-尺度的逆离散小波程序，并用课本上的例7.8来验证所编写的程序-The experiment calls for the development of a basic package Haar wavelet transform for the follow-up experiment. Harki function used in the experiment-specific " average" and " difference" method. First of all, to be prepared a calculation of the Haar wavelet j-scale discrete wavelet transform procedures. And to prepare a calculation of the Haar wavelet scale j-inverse discrete wavelet procedures, and the cases of books to verify the preparation of 7.8 procedures
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Description: 图像特征识别通过神经网络训练方法实现，是学习参考的好资料-you will need first to run the file that name "charGUI4.fig" and on the right side there is a load training set where you have to train the system first, run any data that is should be from 1 to 9 and 0 like ( 1 2 3 4 5 5 6 7 8 9 0) as many line as you want so if you have a traning data that is 10 columns by 5 lines then you have to assign that to the small boxes that name column and line. right now keep the#words as is because I plan to use it but I change my mind so that it is automatically count the word for you.
after you train the system then load any image test, from the "Load Image" once you upload the image then choose the "select" and then go to the uploaded image and select whatever you want to recognize, after that select "crop" to crop the exact part that you want to recognize after that selcet "Features Extraction" to extract the features after that choose the "recognize" to see the results up on the result box.
P.S. keep in mind that the program has been tested on the
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Description: MIMO Tool is a toolbox for MATLAB (it works fine in every version from 5.3 until 7.8) developed with the aim to offering a complete toolbox for continuous time MIMO linear systems analysis and robust control synthesis.
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Author: Rafal |
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Description: Transmission Control Protocol (TCP/IP) communications are used to send data from one computer to another over a network or from one application to another within a single computer.
MATLAB release MATLAB 7.8 (R2009a) -Transmission Control Protocol (TCP/IP) communications are used to send data from one computer to another over a network or from one application to another within a single computer.
MATLAB release MATLAB 7.8 (R2009a)
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Author: Rafal |
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Description: 摘要说话人识别在自动身份鉴别方面具有重要的现实意义。文章在分析了说话人识别实现的可行性基础上*提
出采用长时线性预测倒谱 +,--.,)系数和矢量量化 /0)模型的不依赖于文本的说话人识别方法，并成功地应用于
一个数据库查询系统中。-65DL5<?E5=7?9?AD7?8=CDH H?>=?9?AD=7 D66@?AD7?8=H?=D 78:D7?A?=E?G?E D@<5A8>=?7?8=D<5D#M=7C?H 6D65<*
7C5 68HH?N?@?7I 89 DAA8:6@?HC:5=7 89 H65DL5<?E5=7?9?AD7?8=?H D=D@IO5E*D=E 7C5=D:57C8E 98<75P7Q?=E565=E5=7
H65DL5<?E5=7?9?AD7?8=?H 6<5H5=75E*RC?AC?H NDH5E 8=G5A78<S D=7?7D?8= /0)D=E@8=>Q7?:5+,--.,6D<D:575<H#
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Author: 于高 |
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Description: 【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦Matlab程序
【14】F-检验法部分程序
-【1】 【2-random sequence generation process white noise generation process】 【3】 M sequence generation process 【4】 to complete a one-time second-order system least-squares identification procedure 【5】 actual pressure system least-squares identification procedure 【6】 Delivery Push the least squares identification procedure augmented 【7】 【8】 least square identification procedures for gradient correction least square identification procedure 【9】 Recursive maximum likelihood identification procedures 【10】 【11】 Bayes identification procedures Improved neural network algorithm MBP noise system identification procedure 【12】 multi-dimensional nonlinear function identification program Matlab program 【13】 fuzzy neural network decoupling Matlab program 【14】 F-test part of the program
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Author: jshuska |
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Description: Min/Max filter，最大最小滤波器，说明看英文，只是国外的人写的代码，
-Description The filter computes the minima and/or maxima of an array over sliding window with a given size.
Multidimensional array is fully supported: running filter in 1D, 2D filter for image processing applications (erosion/dilatation), 3D and more.
This package has been implemented with a special care on the running speed: the MEX engine uses an algorithms that requires no more than three (3) comparisons per element and per dimension in all configurations.
All numerical and logical class arrays are supported.
Contributor (beside author) is Vaclav Potesil
Acknowledgements
This submission has inspired the following:
Free-knot spline approximation
MATLAB release MATLAB 7.8 (R2009a)
Other requirements MEX correctly setup NO image processing is required Download a tiff file for
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Author: 谢冉 |
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Description: MATLAB7.8鲁棒控制入门指南,这是一本基于MATLAB的鲁棒控制方面的入门书籍，希望对网友们有用-MATLAB7.8 Robust Control Getting Started Guide, which is a MATLAB-based robust control of entry books, useful for users who want to
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Author: 黑夹克 |
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Description: Implementation of Fuzzy Gain Scheduling for PID Controllers in MATLAB and Simulink
Fuzzy PID Controller in MATLAB and Simulink
An approach to tune the PID controller using Fuzzy Logic, is to use fuzzy gain scheduling, which is proposed by Zhao, in 1993, in this paper. In this post, we are going to share with you, a MATLAB/Simulink implementation of Fuzzy PID Controller, which uses the blocksets of Fuzzy Logic Toolbox in Simulink. Three examples of the reference paper, are implemented as Simulink models. For backward compatibility, the models for use with MATLAB 7.9 are provided, in addition to MATLAB R2015a (version 8.5) models.
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Author: amardz |
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