无位置传感器无刷直流电机控制系统仿真

matlab自己编的具体实用例子，此中的例子适用很多情况，有具体实用价值(matlab own series of specific practical examples, there is a world example for many situations, there are specific practical)

压缩感知中全变分（TV）重构算法，本程序主要用于图像重构(Total variation in the compressed sensing (TV) reconstruction algorithm, this procedure is mainly used for image reconstruction)

根据公汽线路信息数据，编写对任意车站，寻找通过该站的汽车线路的M文件； （3）编写M文件，对任意两个车站m,n，判断是否有线路通过这两车站，若有则编写寻找通过该站的汽车线路的M文件 （4）对任意两个车站m,n，若没有线路直接通过这两车站，编写通过一次转车而到达两站的M文件 (According to the bus line information and data to write on any station to find the M-file line through the station car (3) the preparation of the M-file, any two stations m, n, determine whether the line through these two stations, if write to find the M-file line through the station car (4) any two stations m, n, if there is no line directly through the two stations, the preparation time to change trains to reach the M-file of the two stations)

接收天线对分布式干扰机群和单个大功率干扰机方向性影响数值计算及仿真(Receiving antenna directivity effects of numerical calculation and simulation of distributed interference fleet and a single high-power jammer)

matlab小程序，色散参量D和群速度色散参量beta2转化(Matlab small program, dispersion parameter D and group velocity dispersion parameter beta2 transformation)

基于Simulink的内插器的高效FIR多相结构实现仿真(Efficient FIR interpolator multiphase structure to realize the simulation based on Simulink)

Matlab files of chapter 4 kalman filtering 3 edition of grewal

模式分类 课后练习答案 佩斯大学整理版本，每章都有（包括 7 8 9 10章） 平均20多道题，跟网内那种一章选几道的完全不一样~~谁用谁知道pattern classification(Duda pattern classification on the answer machine after-school practice exercises finishing version Pace University (New) pattern classification)

KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.((KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.)

pheromone levels of terms based on the quality of the best rule among the rules constructed improves the predictive accuracy for some datasets.