Airy

常用MATLAB 函数逼近算法代码,用于对常用算法函数的测试用例使用(matlab function )

一个matlab的图像边缘源码，打开后带参运行，图像处理(bianyuanlianjieyuanma)

声音识别程序，matlab，有例子，对于学习不错，HMM的，包括训练和识别(Voice recognition program matlab, there are examples of good for learning, HMM, including training and recognition)

基于MATLAB研究二维Gaussian低通滤波器的时频特性及其用于模仿点扩散函数（PSF:point spread function）在图像退化建模中的应用(When the frequency characteristics of the two-dimensional Gaussian MATLAB study based on its low-pass filter is used to mimic the point spread function (PSF: point spread function) in image degradation modeling)

这是matlab编写的Logistic Discrimination 和 KNN分类器代码。这两个算法的实现参考了《Introduction to Machine Learning》。 除此在代码中还包含了调用matlab自带的libsvm的例程。rumLogisticDiscrimination， runKnn， runSvm分别对这3个算法在数据集liver_train_data上的分类准确度进行测试。测试结果在code report.doc 中有简要描述。(This code implements the Logistic Discrimination and KNN classifier. The implementation is according to the text book <<Introduction to Machine Learning>>. We have also compared the classification accuracy among Logistic Discrimination, KNN and SVM on data set liver_train_data. A brief test report is included as well. Enjoy :).)

3电平光伏并网逆变器matlab/simulink仿真模型，仿真测试通过，可以正常使用。(3-level photovoltaic grid inverters matlab/simulink simulation model, simulation test can be used normally.)

根据静态苹果图像RGB三值检测苹果表面是否有缺陷，比较准确(Apple RGB image from the static three-valued test whether apple surface defects, more accurate)

动态因子模型，该模型可以有效对高维数据进行降维，将成百上千的数据信息浓缩在几个因子里面，即从一国许多经济时间序列数据中估计和解释驱动各变量波动的共同动态因子。 MATLAB代码(dynamic factor model, the model can be effective for high-dimensional data dimension reduction, condensed the hundreds of thousands of data in several factors, that is, from a country many economic time series data in the estimation and explain the common dynamic factors drive the variable volatility.MATLABcode)

MMC中IGBT损耗计算与结温模块（计算开关周期内的损耗，公式可以参考 电工技术学报 WXP先生 2018-12-14 的一篇文献），还有一对VT+VD的Foster。公式及其实现没有问题，仿真过程可能出现代数环，如果有自己的Foster或者Cauer最好。(power loss calculation&junction temperature detection of IGBT in MMC)

本程序用bp解决广义异或问题并提供了对输入样本的改进。(bp to solve the problem and the generalized XOR improve the input samples.)