Matlabwaveletsecond

多目标优化算法的求解方法，是SCE-UA方法的升级版，很好用的，供大家分享(Method for solving multi-objective optimization algorithm is an upgraded version of the SCE-UA method, good for people to share )

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.)

高炜炳老师1996年写的变结构控制的经典书籍，有助于学习变结构相关的内容(sliding model control of nonlinear system control)

用matlab编写的复合材料层合板刚度降低问题，仅供参考(Prepared using matlab stiffness composite laminates to reduce the problem, for reference)

1.深入理解最佳基带系统的概念。 2.掌握用Matlab进行通信系统仿真的方法。(digital low-pass filter)

说明：  解方程的matlab源码，有问题的请大家说明(Solution of equation matlab source, there are problems please note)

一种能有效读出FERET库中的人眼坐标的有效方法，适用于有关人眼的人脸识别。(an effective FERET read out the eyes of the effective ways to coordinate, applicable in the eyes of face recognition.)

DIFFERENT MODULATION TECHNIQUE USED FOR WIRELESS COMMUNICATION

这个程序是matlab程序，进行结构有限元分析，非常有用！！！(This program is a matlab program, the structural finite element analysis, very useful!!!)

这个是谱减法的MATLAB程序，经过验证能比较好的去除平稳噪声。其运用了简便的FFT减小了运算量(it is a program about delete noise.it based on MATLAB)