psk

matlab实现字符的识别，matlab实现字符的识别，(number recognition)

a simulink model for hybrid electrical vehicule

遗传算法优化投影寻踪，调用遗传算法进行优化(projection pursuit)

基于ESPRIT算法的DOA估计，利用ESPRIT算法进行DOA估计(DOA estimate with arithmetic)

这个文件是，opendss与matlab交互编程的标准示例，可以帮助学习者更快的掌握opendss与matlab的交互(This file is a standard example opendss interact with matlab programming, can help learners to quickly grasp the interaction with the matlab opendss)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

一致性检测，判断矩阵，层次分析法，一致性(Conformance detection)

说明：  dpd的matlab程序5个，需要配套使用，包含saleh模型，多项式模型和volterra模型(dpd using matlab, Including Saleh model, polynomial model and Volterra model)

说明：  计算多自由度体系振动反应分析时的威尔逊法的实现(Realization of Wilson's Method in the Analysis of Vibration Response of Multi-degree-of-freedom System)

利用粒子群优化算法实现两个变量求最大值，很实用的一个matlab程序(Particle Swarm Optimization)