MTIMTD

说明：  龙格库塔算法的两个MATLAB程序，供大家借鉴。(Runge-Kutta algorithm two MATLAB programs for everybody' s reference.)

krusk算法的matlab，很好用~非常适合在图论中的应用~(the krusk algorithm matlab, very easy to use- very suitable for application in Graph Theory ~)

SVPWM的matlab仿真模型的建立方法，很经典(SVPWM matlab simulation modeling method, very classic)

一个完整的基于LMS和RLS改进算法的语音增强MATLAB程序，包括了输入输出序列和读取数据，自适应增强算法的程序(Based on a complete LMS and RLS algorithms to improve speech enhancement MATLAB procedures, including the input and output sequences and read data, adaptive enhancement algorithm procedure)

基于角谱法衍射理论的近场菲涅尔衍射的模拟(Fresnel diffraction stimulation based on angular spectral method)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

matlab使用入门介绍，说明了matlba的语句，结构控制，工具箱使用等(using matlab)

THIS IS MATLAB CODE FOR BINARY GA

计算CM值,表征系统规整性的一个计算方法(Calculated CM values, characterize the system as a structured method of)

说明：  利用矩阵重构，在小样本下，实现了比常规MUSIC更高的分辨精度(Use of matrix remodeling, in small sample situation, implementation than conventional MUSIC higher resolution )