资源列表
IO_VMD
- 仿照EMD的分解层数确定方法，用以优化VMD的分解层数K(The method of determining the number of decomposition layers according to EMD is used to optimize the decomposition level of VMD K)
kmean
- 确定K均值最佳聚类数，把数据导入后运行即可(Determining the best clustering number of K mean)
abs制动及过程仿真分析
- 利用MATLAB软件进行了ABS控制器设计，并对制动过程进行了分析。(The ABS controller is designed by using MATLAB software, and the braking process is analyzed.)
KolmogorovEntropy_GP
- 柯尔莫哥洛夫熵（Kolmogorov熵，以下简称K熵）是刻划混沌系统的一个重要的量。在不同类型的动力学系统中，K熵的数值是不同的。本程序可以计算kolmogorov熵(Kolmogorov entropy (hereinafter referred to as K entropy) is an important quantity for describing chaotic systems. In different types of dynamical systems, the K entr
DeepCCA-master
- 深度典型相关分析的python实现，DCCA是Galen Andrew于2013年发表于ICML上的一篇文章，提出了将深度网络与CCA结合的新方法。(Deep canonical correlation analysis)
VMD
- 变分模态分解的源程序 ，主要用于信号处理(Source program for variational mode decomposition, mainly used for signal processing)
Desktop
- mtalab的NEWMARK方法程序，可用于轴承转子系统的动力学特性分析(The NEWMARK method of Mtalab can be used to analyze the dynamic characteristics of bearing rotor system.)
sphere_scattering
- Solutions to the plane wave scattered by a dielectric sphere and a multi-layer sphere.
MatScat
- Solve the scattering of electromagnetic radiation by a sphere or multiple cylinders.
拟一维喷管流动的数值解法(MATLAB)代码
- MacCormack差分格式进行求解变截面喷管流动(MacCormack difference scheme for variable cross-section nozzle flow)
classification
- 实现PCA分类.1、进行PCA的交叉检验。2、对数据进行PCA降维。3、进行分类，交叉检验。4、构造训练和测试的数据(PCA classification,Cross validation of PCA,PCA dimensionality reduction for data.)
Untitled
- 根据实测加速度振动信号，求取功率谱密度，为疲劳分析提供数据支撑(According to the measured acceleration vibration signal, the power spectrum density is obtained, providing data support for fatigue analysis.)