voiceandMatlab

matlab 中 svpwm 的算法程序，很好用的(algorithm matlab program in svpwm, well used)

本文是个人整理的，对S函数的原理做了基本介绍，然后对S函数的面板进行了详细的注解，算是加入了自己理解的翻译(This article is the personal finishing basic principle function of S, then the S-function panel detailed annotations, regarded as adding their own understanding of the translation)

用matlab编写逆投影变换程序，三个m文件分别代表最近邻插值法，双线性插值法，立方卷积插值法，通俗易懂，含有测试图片，打开就能用(Inverse projection transformation program, matlab prepared three m documents represent the nearest neighbor interpolation, the bilinear interpolation and cubic convolution interpolation method, easy to understand, contain a test image, open the can)

1、试设计串连校正装置，在同一窗口下分别绘制出校正前后的频域响应曲线，阶跃响应曲线，判断系统校正前后的稳定性； 2、设计串连校正装置，在同一窗口下绘制出校正前后的波特图进行验证，并在同一窗口下绘制校正前后系统的奈奎斯特图； 3、设计串联滞后超前校正装置，绘制出校正前后系统的伯德图； 4、设计串联校正装置使校正后的闭环系统的主导极点； 5、设计串联校正装置，维持原系统的闭环主导极点基本不变； 6、设计状态反馈阵。(And try to design concatenation correction device, were drawn in the same window, the frequency response curve before and after correction, the stability of the step response curve, determine the system before and after correction design concatenation correction device, drawn in the same window Bode plots before and after a correction to verify, before and after correction system Nyquist diagram drawn in the same window 3 design series lag the leading correction device, drawn before and after correction system Bode plot design series correction The closed-loop system in the device so that the corrected the dominant pole design series correction device to maintain the original system closed-loop dominant pole is essentially the same 6, the design state feedback matrix.)

说明：  内含用MATLAB编写的三个神经网络应用实例，包括BP网络和RBF网络(Using MATLAB includes the preparation of the three neural network application, including the BP network and RBF network)

在傅立叶变换光学中夫琅和费衍射场的强度分布就等于屏函数的功率谱。因此我们可以直接将光屏进行傅立叶变换，再处理得到衍射图样。(In the Fourier transform optics, Fraunhofer diffraction field intensity distribution is equivalent to the power spectrum display function. Therefore, we can directly Guangping Fourier transform, and then to handle any diffraction pattern.)

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)

利用这个小数据量方法计算混沌时间序列的最大李雅普诺夫指数(With small amount of data calculated largest Lyapunov exponent of chaotic time series)

The goals of writing this book are (1) to provide the reader with simple, easy, hands-on introduction to MATLAB (2) to demonstrate the use of MATLAB for solving electronics problems (3) to show the various ways MATLAB can be used to solve circuit analysis problems and (4) to show the flexibility of MATLAB for solving general engineering and scientific problems.

matlab的蚁群算法边缘检测方法。代码可以给需要的人学习(ant colony algorithm for edge detection in matlab. The code can be to those who need to learn)