chapter-6

利用主成分分析和K-means聚类实现聚类的Matlab算法(principle component analysis and then use k-means clustering algorithm to realize the clustering)

dc motor nominal simulink

基于回归分析的支持向量机计算程序算例及m文件(Support vector machine application example and m files On the basis of regression analysis)

ODFM系统的系列仿真代码，主要是信道衰减方面的，运行时有点慢，耐心等待哦(Series ODFM system simulation code, mainly channel attenuation areas, run-time a little slow, be patient Oh)

MATLAB教程，可以很好的进行matlab的系统学习(MATLAB tutorials, can be very good for a systematic study of matlab)

MIMO script for BER computation BPSK

说明：  递归，是函数实现的一个很重要的环节，很多程序中都或多或少的使用了递归函数。递归的意思就是函数自己调用自己本身，或者在自己函数调用的下级函数中调用自己。 递归之所以能实现，是因为函数的每个执行过程都在栈中有自己的形参和局部变量的拷贝，这些拷贝和函数的其他执行过程毫不相干。这种机制是当代大多数程序设计语言实现子程序结构的基础，是使得递归成为可能。(Recursion, is a function to achieve a very important part of many programs are more or less use the recursive function. Recursive mean that the function of its own call to themselves or subordinates in their own function calls a function to call their own. Recursion that can be achieved because the function of each execution in the stack has its own shape parameters and local variables of the copy, the copy and the implementation process has nothing to do other functions. This mechanism is the most modern programming language implementation subroutine structure of the foundation is to make recursion possible.)

给出卫星适当的初始位置和速度，利用其运动微分方程，求出2－3个周期内的轨道，并画出机械能和动量矩的大小随时间变化的曲线。(Given appropriate initial satellite position and velocity, using the equations of motion, find the 2-3 cycle track, and draw mechanical energy and angular momentum of the size of the curve over time.)

这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波，包括适应非线性滤波，更可靠的平滑方法，并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中，提供给读者的机会，发现如何卡尔曼滤波行动，并考虑实际运算需要保持结果的准确性。(This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. )

It is a function of active disturbance reject control