funcion_muestreodimuno

系统辨识二阶递推最小二乘算法实现。对数据进行了归一化的预处理，并且对原始数据进行一次采样(Second-order recursive least squares system identification algorithm)

实现空间矢量控制，结果正确。经过验证！可放心使用！(Source link has yet to be found. Please, try to download it from local website.)

现代控制原理作业 源程序 供参考 是MATLAB程序 有注释 (Modern control theory job source for reference)

雷达信号的基本检测，雷达信号的基本检测流程matlab仿真(Radar signal detection)

基于文化算法的粒子群优化算法能记忆遍历过的最优值(Culture-based particle swarm optimization algorithm to traverse through the optimal value of the memory)

流形学习，局部线性嵌入式算法(LLE)，一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同，LLE算法在单一的低维的全域坐标系统中表征采样空间，然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用，LLE能够描述非线性流形的全局结构，例如那些人脸的数据集或者文本文档集(Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict capture high-dimensional space contained in the low-dimensional features. And for local dimensionality reduction of the different clustering algorithms, LLE algorithm in a single low-dimensional characterization of the global coordinate system, the sampling space, but it does not optimize the local minimum. Reconstructed by the local symmetry of the linear study of the application, LLE can describe the global structure of nonlinear manifolds, such as those who face data sets or text document collection)

采用修改的Yule－Walker方程来计算ARMA模型的参数，注意，是针对随机信号； (calculat parameters for ARMA model)

复杂网络的建模和分析程序，能够分析复杂网络的节点参数，进行重要度等计算(Modeling and analysis of complex network program, the ability to analyze complex network node parameters, for essential computing degree)

基于matlab的三维边界元法。可以计算金属球，金属棒，金属圆环等结构的远场光散射和场分布。(Matlab-based three-dimensional boundary element method. You can calculate the metal balls, metal rods, metal ring structures such as the far-field light scattering and field distribution.)

说明：  k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。(The k-means algorithm accepts the input k; then divides n data objects into k clusters in order to make the obtained cluster satisfy: the similarity of objects in the same cluster is high; and the similarity of objects in different clusters Smaller.)