matlab-Llne-Interpolation

forster特征点检测的matlab实现(forster feature point detection in matlab implementation)

matlab编程模拟太阳，地球和月球的星系运动，利用了动态图画的效果(sun and earth moving program)

[数学信号处理及其MATLAB实现].赵红怡.扫描版：本书介绍数字基本理论和matlab实现(This book introduces the basic theory and matlab implementation figures)

SOLVE PROGRAM RBF Interpolation BY ICA

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.)

2013年全国大学生数学建模本科组B题：采用Matlab软件编程，程序易理解，类似C(2013 National Undergraduate Students' Mathematical Modeling Group B title: using Matlab software programming, the program is easy to understand, similar to the C)

通信系统中实现双边带调制与解调。用matlab方式实现。(Communication systems to achieve a bilateral with modulation and demodulation. Way to use matlab.)

Vehicle Climate Control System

clustering data at matlab

滑模控制经典书籍，内含各种程序源代码！包括基本滑模控制，自适应滑膜控制，及反演自适应滑模控制！是一本很好的资料！(Sliding Mode Control classic books , containing a variety of program source code ! Includes basic sliding mode control , adaptive control synovium , and inversion adaptive sliding mode control ! Is a very good information ! )