FFT2

说明：  《数字图像处理与机器视觉:Visual C++与Matlab实现》6 支持向量机,综合案例——基于PCA和SVM的人脸识别系统(&quot Digital image processing and machine vision: Visual C++ and Matlab to achieve&quot 6 support vector machines, comprehensive case- based on PCA and SVM for Face Recognition System)

实现锁相环的基本功能，主要是用matlab实现相关的功能(PLL to achieve the basic functions, mainly related functions using matlab)

人脸识别的SVM算法，运行正确。采用Matlab编写。(SVM algorithm for face recognition, running correctly。Based on matlab.)

一个无源滤波器参数自动生成程序，通过matlab运行输入已知参数就能获得RLC参数(A passive filter parameters automatically generated program, enter the known parameters will be able to run through matlab RLC parameters)

A matlab code which calculates the velocity profile for a flow in a 2d channel using the lattice boltzmann method.

also contains the code to read the letters

garch-copula-VaR模型用于计算投资组合风险(garch-copula-VaR model is used to calculate portfolio risk)

this is the model for solar panel provides DC output for varying irradiance value

利用遗传算法解决潮流计算中的5节点计算潮流问题，能够优化结果(Using genetic algorithm to solve 5-node power flow problem in power flow calculation can optimize the results.)

其中有五个程序，详细地说明了五种基于模糊数据的模糊聚类的方法与实现步骤。其中五种程序分别来自五个权威外文论文(Among them, five procedures, detailed description of five based on fuzzy data fuzzy clustering methods and implementation steps. Five procedures in which the authority of a foreign language from the five papers)