kmeans

一维边值问题线性有限元数值解法的matlab程序。有详尽的算法分析，程序注释清楚。适用于有限元方法的初学者，能帮助读者加深对基本概念的理解。(one-dimensional linear boundary value problems finite element numerical solution of Matlab procedures. A detailed analysis of algorithms, clear procedures for the Notes. Application of the finite element method in the beginners will help readers to better understand the basic concepts.)

可以自适应的给出最佳的聚类数， 而且可以验证聚类的有效性， 达到最佳聚类的目的(You can give the best adaptive number of clusters, and can verify the validity of clustering, to achieve the purpose of optimal clustering)

两轮自平衡模糊控制论文 matlab程序+simulink仿真(Two self-balancing fuzzy control thesis matlab simulation program+simulink)

使用matlab进行OFDM系统调制解调模块的实现，其中包括BPSK调制，加入循环前缀，误码率计算。简单易懂的入门级程序，有详细的注释。(OFDM systems using matlab for implementation of modulation and demodulation modules, including BPSK modulation, adding cyclic prefix, the error rate. Straightforward entry-level program with detailed comments.)

Several functions are provided for Histogram Processing. They include: PDF, CDF, and Histogram Equalization. For further details, please refer to: "Gonzales & Woods, DIP, 2nd. ed." (Several functions are provided for Histog ram Processing. They include : PDF, CDF, and Histogram Equalization. For further detai ls, please refer to : "Gonzales)

搭建汽车操纵稳定性和平顺性仿真中常用的魔术轮胎和dugoff轮胎，整理到一个simulink文件中，两种轮胎的模型均已和carsim中的仿真结果进行对比和验证，精度较高。(The magic tire and Dugoff tire commonly used in vehicle handling stability and ride comfort simulation are built and sorted into a Simulink file. The two tire models have been compared and validated with the simulation results in Carsim, and the accuracy is high.)

国外著名控制专著《extremum seeking control and application》第四章案例matlab源码(matab code for examples of ch4 in a well-known book《extremum seeking control and application》)

vc和matlab混编技术之一：vc++基于com组件调用matlab的dll(One of vc and matlab mixed technology: vc++ DLL based on matlab com component calls )

filtrage active parallèle est leur rô le dans les réseau électrique

基于莱维飞行粒子群算法的点焊机器人路径规划(Spot welding robot Levy flight path planning based on particle swarm algorithm)