close-all

说明：  人工免疫系统工具箱，matlab源码，对于最优化问题该算法有明显的优势。(Artificial immune system toolbox, matlab source, the algorithm for optimization problem has an obvious advantage.)

[LabVIEW]实现CRC校验，有些通讯协议需要用到CRC校验，所以很方便。([LabVIEW] implement the CRC, some protocols need to use the CRC, so it is convenient.)

music算法的影响因素 包括有阵元间距 信噪比 快拍数 角度差的影响 直观 简单(matlab about music)

说明：  较为简单的均匀圆阵的方向图，可以用于实验仿真，波束成形等(The simple pattern of uniform circular array can be used for experiment simulation, beamforming, etc)

EBMA and HBMA using MATLAB

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)

对于天线的设计和应用进行了仿真,并进行了优化处理(antenna for the design and application of simulation and optimization of processing)

卡尔曼滤波算法(内含详细推导)，可供读者自行学习，经本人测试，代码无误(Kalman filter algorithm (including the detailed derivation))

matlab做的，关于滚动轴承振动信号故障诊断很重要的数据库，做机器学习的朋友可以看看啊！(Matlab do, on the rolling bearing vibration signal fault diagnosis is very important , machine learning friends can see ah!)

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。(This book chapter describes the system integration work MATLAB6.5 platform to guide the reader will be the beginning of the basic usage of MATLAB. Second, the system described in Chapter Four MATLAB6.1 basic data types (numeric arrays, string arrays, cell arrays, structure arrays), while the other extended data types (function handle, symbol data, inline functions, unit array , sparse class) then open another chapter specifically stated. Since then, the book chapters are described by nine independent MATLAB6.5 the numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application generation software platform to achieve interaction of different API, M-book data in graphical environment for integration of the eight general-purpose language features. This book devoted a chapter in layman s language to clarify the hierarchical SIMULINK modeling, simulation capabilities, and the MATLAB int)