Pendulum

基于MATLAB的rake接收机的仿真分析，RAKE接收机作用CDMA调制通讯系统常用的接收机，该仿真代码质量较高，可供CDMA通信工程专业本科和硕士毕业论文仿真提供参考(Rake receiver based on MATLAB simulation analysis, RAKE receiver CDMA modulation communications role The receiver system used, the simulation code of higher quality, for the CDMA communication engineering Master of Science thesis and provide a reference simulation...)

Bellman function which is about bellman function

说明：  这是《matlab小波分析》教材上的第一章程序（例）的源码，希望分享！(This is the &quot matlab wavelet analysis&quot textbook chapter on the procedure (cases) of the source, I hope to share!)

用 Matlab 的 Fuzzy 工具箱实现模糊控制(Using the Matlab Fuzzy Toolbox fuzzy control)

现代通信原理课程中，在MATLAB中实现ＤＳＢ－AM的调制与解调。(Modern communication theory course, in MATLAB to achieve DSB-AM modulation and demodulation.)

Mesh generation is one of the most critical aspects of engineering simulation. Too many cells may result in long solver runs, and too few may lead to inaccurate results. ANSYS Meshing technology provides a means to balance these requirements and obtain the right mesh for each simulation in the most automated way possible. ANSYS Meshing technology has been built on the strengths of stand-alone, class-leading meshing tools. The strongest aspects of these separate tools have been brought together in a single environment to produce some of the most powerful meshing available.

说明：  包含估计copula的步骤：正态分布检验，非参数核密度估计，copula的参数估计，copula的Kendall秩相关系数估计以及用平方欧式距离评价copula模型。(It includes the steps of Copula estimation: normal distribution test, nonparametric kernel density estimation, Copula parameter estimation, Copula Kendall rank correlation coefficient estimation and copula model evaluation by square Euclidean distance.)

Double_buck_PI_Control.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(Double_buck_PI_Control.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

This is a work-in-progress. Please check back for updates, and check software carefully before using!

核函数主成分分析，用于数据的特征提取，对于训练样本的降维有较好的效果(Kernel principal component analysis, feature extraction for data, which can effectively reduce the dimension of training samples, the better)