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说明：  MATLAB7辅助控制系统设计与仿真 书中的原码 第2章.rar(MATLAB7 assisted control system design and simulation of the original code book, Chapter 2. Rar)

这是matlalb控制系统仿真域实例一书中的各章节代码，有需要的朋友欢迎下载。(Control System Simulation with MATLAB example explanation (with the book CD-ROM) code sections)

The Support Ve ct or Machi ne So fa r we have used a reference as sumpt ion tha t there exists a linear classifier that has a larg e ge ometric margin, i.e., whose decision b oundar y is we ll separa ted from all the training images (e xamples). Such a larg e margin classifier seems like one we would like to use. C an’t we find it more directly? Yes, we can. The clas sifier is known as the Support Ve ctor M achine or SVM for short.

一个matlab编程求取李雅普诺夫指数的大概汇总，可供编程参考(A matlab programming to obtain the Lee Yap Andrianof indices about summary, for programming reference )

数据模型归一化，模态振动，采用加权网络中节点强度和权重都是幂率分布的模型，GSM中GMSK调制信号的产生，实现了对10个数字音的识别，感应双馈发电机系统的仿真。( Normalized data model, modal vibration, Using weighted model nodes in the network strength and weight are power law distribution, GSM is GMSK modulation signal generation, To achieve the recognition of 10 digital sound, Simulation of doubly fed induction generator system.)

基于障碍物的三维定位chan和tylor wifi定位算法(Wifi three-dimensional chan and talor localization algorithm...)

含有PUMA560（机械臂）的MATLAB仿真教程以及官方的Robotic Toolbox教程(MATLAB simulation tutorials containing PUMA560 (robotic arm) and official Robotic Toolbox tutorial)

该文件是用相位差校正技术来检测简谐波，其运行环境是在matlab中( FFT)

Design the cascade of second order filters and the front filters (outer/middle and compensator) needed for Lyon s Passive Short Wave (Second Order Sections) cochlear model.(the cascade of second order filters and the front filters (outer/middle and compen sator) needed for Lyon's Passive Short Wave (Sec Order Sections MD) the 11 model.)

在人脸局部图像中定位嘴的中心。MATLAB环境代码，配有实验用图。具体步骤：对输入图像进行二值化处理-标注二值图像中的连通分量-找出最大的连通分量-计算最大联通分量中心。《精通Matlab数字图像处理与识别》(The face part image is positioned in the center of the mouth. MATLAB environment code, with experimental Fig. Specific steps: input image binarization processing- marked binary images connected components- find the largest connected component- component to calculate the maximum Unicom center. " Mastering Matlab digital image processing and recognition." )