sparse_in_time

这是在MATLAB上的Hopfield解决简单的TSP问题，虽然有点简单，但效果很好~(This is the MATLAB on the Hopfield simple solution of TSP, Although somewhat simple, but very effective ~)

一个matlab实现遗传算法的程序，希望能够给大家提供帮助(a genetic algorithm to achieve the procedure, we hope to be able to provide help to)

V-BLAST空时码仿真，干扰消除和无干扰消除的SNR-FER曲线(Simulation of V-BLAST)

无线传感器网络中采用虚拟力算法进行节点部署时，节点优化过程的matlab算法，产生结果有直观的图形，并且可以根据不同需要进行参数更改。代码导入后可以直接运行(When virtual force algorithm is used to deploy nodes in wireless sensor networks, the matlab algorithm of node optimization process generates intuitive graphics and can change parameters according to different needs. Code can run directly after importing)

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.)

Sound file processing using Matlab

It is three phase power pwm llevel.

pmsm model DQ/matrix

motion_estimate(matlab)mse.m ....................... eadblock.m ....................... eadbuf.m .......................ma.m motion_estimate(matlab)

Z source inverter in running condition