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说明：  对受迫振动的非线性系统碰撞仿真，适合相关人员交流学习。可以针对不同刚度，频率，间隙进行调整。(Collision simulation of forced vibration of non-linear system is suitable for related personnel to communicate and learn.)

这是一个用MATLAB编写的高通滤波程序，可供参考之用(This is a prepared using MATLAB high-pass filtering procedure, for reference)

说明：  有用的matlab源，大家看一下是否有用啦。或许对你有帮助哦。(Matlab useful source, we look at whether it is useful to you. May be helpful to you, oh.)

icp算法的实现和kd-tree功能的实现，实现了三维激光扫描仪获取的多视点云配准和建立离散点间的拓扑关系，实现基于领域关系的快速查找。(kd-tree implementation and realization of function icp algorithm to achieve a multi-view point cloud registration and establish topological relations between discrete points, field-based relationships quickly find the three-dimensional laser scanner acquisition.)

GPS_INS松组合程序，采用EKF滤波，包含仿真环境(GPS/INS loose-couple program, with EKF application for navigation filters, the simulation environment is also included.)

This is traning by ica.

极大似然法，基于极大似然法的参数估计，matlab程序(Maximum Likelihood)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)

研究高超声速飞行器在纵向的运动情况，对系统的速度和飞行高度进行仿真分析，我们将对在不同的 、 值的条件下分析出系统的最优性能(The longitudinal motion of the hypersonic vehicle is studied, and the system speed and flight height are simulated. We will analyze the optimal performance of the system under different conditions and values.)

五维超混沌系统反同步仿真，基于matlab的simulink，实时同步(The anti- synchronization of a five-dimensional hyperchaotic system by matlab)