shuzhijifen

基于MATLAB_Simulink的系统仿真技术与应用 本书首先介绍MATLAB语言的程序设计的基本内容，在此基础上系约介绍了系统仿真所必要的数值计算方法及MATLAB实现，并以Simu1ink为主要工具介绍了系统仿真方法与技巧，包括连续系统、离散系统、随机输入系统和复数系统的仿真，由浅入深介绍了模块封装技术、电力系统模块集、非线性系统设计模块集、S-函数编写与应用、Stateflow有限状态机、虚拟现实工具箱等中高级使用方法，最后还介绍了半实物仿真技术均实时控制技术。本书可作为一般读者学习和掌握MAlLAB／Simulink语言的教科书，也可作为高校理工科各类专业的本科生和研究生系统仿真类课程的教材和参考书，还可供科技工作者、教师作为学习和应用系统仿真分析技术解决实际问题的参考资料。(This book introduces MATLAB programming language, the basic content, in this based on the simulation system presented about the necessary numerical methods and MATLAB implementation, and Simu1ink introduced the system as the main tool for simulation methods and techniques, including the continuous system , discrete systems, stochastic input system and complex system simulation, Deep introduced module packaging technology, power system block set, set of nonlinear system design module, S-function and application of writing, Stateflow finite state machines, virtual reality tools use of boxes and other senior, finally introduced the loop simulation technology are real-time control technology. )

matlab 遗传算法 包括交叉，变异，最后得到结果等。(matlab yi chuan suan fa bao kuo jiao cha bian yi zui hou de dao jie guo )

MATLAB 计算kappa分布，不仅有一维情况而且有三维情况下的算法(MATLAB computing kappa distribution, not only one-dimensional and three-dimensional case the algorithm)

matlab codes for systems level implementation

matlab 实现的 数字滤波器 希望对大家有所帮助(digital filter based on matlab)

基于Matlab的卡尔曼滤波器的实现与仿真代码，验证成功(Based on Matlab Kalman filter implementation and simulation code, the validation is successful)

说明：  K-means聚类，将多个点根据各自的坐标，一定的算法分析，在matlab上可以看到聚类结果图像，帮助人们更好的分类不同的点，确定选址问题(K-means clustering, according to the coordinates of multiple points, a certain algorithm analysis, in Matlab can see the clustering results image, help people better classify different points, determine the location problem.)

all about uvi software

说明：  FEA 有限元计算matlab很早以前编制的程序，适应新的matlab环境。(FEA finite element matlab long ago programmed to adapt to the new matlab environment.)

最基础的snake检测轮廓边缘方法的代码，用matlab编写，注释清晰完整。(The snake most basic outline of the edge detection method code, matlab written comments clear and complete.)