ST

支持向量机的分类识别程序，经过改进的程序，识别效果好(Support vector machine classification and recognition program, improved procedures, identify good)

constancy gui using white patch

说明：  李氏指数的一些程序，希望对大家有用，啊哈哈和！(Lipschitz exponent of some of the procedures, we hope to be useful, ah ha ha and!)

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。(The first chapter of this book the system tells MATLAB6.5 of integrated working platform, guiding the reader will be the beginning of MATLAB basic usage. The second and third chapters system described the MATLAB6.1 four basic data types (numeric array, string array, cell array, the array architecture), as extended data types (function handle symbol data, inline functions, unit array , the sparse class) are covered in separate chapters specifically mentioned. Since then, with nine separate chapter book are as MATLAB6.5 the numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application generation, different software platform to interact The data graphics API, M-book text environment integration Eight generic function. Book special chapter layman' s language to clarify SIMULINK hierarchical modeling, simulation capabilities, and MATLAB interaction.)

This contains program for alising ...

matlab based chpper design. boost chopper with PWM

bpsk in Rayleigh fading

说明：  收集了Matlab常用命令的集合，希望有用。(Matlab gathered a collection of commonly used commands.)

主要介绍了新矩阵的创建，包括1）建立新矩阵；2）空矩阵；3）向量和子矩阵的生成；4）MATLAB中的特殊矩阵(Introduces a new matrix of creation, including 1) the establishment of a new matrix 2) empty matrix 3) vectors and matrices generated 4) MATLAB in the special matrix)

说明：  宽带、窄带AR模型，对于不同的N,P,SINR的谱估计的对比分析(Broadband, narrowband AR model, for different N, P, SINR Comparison of spectrum estimation)