FRF_find

Matlab codes for Robust PCA multivariate control chart(Robust PCA multivariate control chart mainly consists two steps: Step1 Calculates the robust mean and the robust covariance of original dataset using the minimum covariance determinant (MCD). In MCD technique, finding a subset containing half of the data such that its covariance matrix has the lowest determinant, then using this subset to calculate the robust mean and the robust covariance matrix (Hubert, Rousseeuw, & Branden, 2005) Step2 Standardize data using robust mean and robust standard deviation from Step1. Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and A is p*p matrix of eigenvectors (also called principalcomponents))

《基于L 矩估计的GEV-GPD分布拟合及其频数分配和分位数计算》 L 矩估计各分布参数(包括GUMBEL分布,GEV分布,GPD分布) ，其中包括子程序(1)计算频数分配(PINSHU),(2)数组排序(BSORT),(3)L矩估计GUMBEL,GEV及GPD参数,(4)检验拟合效果TEST,TEST1.( L moment GEV-GPD calculation, which can be used to calculate distributed parameters of L moment, etc. )

变增益PID算法的c++实现，目前PID算法较多的是c代码写的，这里上传一个C++的(Variable gain PID algorithm c++ to achieve, the current is more PID algorithm code written in c, where a C++ From the)

FCTVOF的主程序,其中FCTVOF是求解关于VOF值的运输方程的一种经典算法，可求出各时刻的各网格的VOF值，从而利用界面重构技术实现界面的重构。(FCTVOF main program, including FCTVOF is for solving the transport equation of VOF value a classic algorithm, can calculate the VOF value of each moment of each grid, so as to make use of the interface to refactor the technical implementation interface. )

矩量法的fortran程序，忘了那本书的源码了(Method of Moments fortran program, forgot the source of the book)

计算机常用数值算法与程序(C++版) (Commonly used numerical algorithm of computer and program )

说明：  复杂网络MATLAB工具包和源程序，用于计算复杂网络特性的工具包。(Complex network MATLAB toolkit and source code)

一本介绍半解析数值方法的经典之作，对从事数值分析及方法研究和应用的科研人员是不错的参考资料(Introduce a semi-analytical numerical method of classic, engaged in numerical analysis and methods of research and application of scientific research personnel is a good reference)

说明：  Group delay calculation

lasso regression. It is very good to use for statics processing.