MATLAB

在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。(In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to find C a cluster center, each cluster center represents a kind of center. Then the samples are classified to the nearest cluster center with the type. C' s choice is a priori knowledge or experience through the selected. Cluster center is obtained through the iterative algorithm.)

watermark 的一些介绍，比如 特点、来历、背景、功能、分类(something about watermark)

这是<matlab程序设计教程>的书籍源代码。(this is the book code of matlab program design course)

给出了经典的粒子群优化算法的matlab实现方法，并结合测试函数，显示算法的寻优能力(Gives a classical particle swarm optimization algorithm matlab implementation, combined with the test function, the ability to display optimization algorithm)

matlab实现OFDM的仿真，经过实践和编程仿真，对理论课的内容会有更为直观的认识。(matlab simulation realization of OFDM, after practice and simulation programming, the content of the theory of knowledge will be more intuitive.)

GPS信号抗干扰方法中的KLMS算法，matlab程序(GPS signal interference methods KLMS algorithm, matlab program)

简单的ofdm信号，主要为信号的建立过程，另有瑞利衰弱信道的代码(The simple OFDM signals, mainly for the establishment process of the signal, otherwise Rayleigh Fading Channels code)

The zip-file contains the following files for visualizing distributions: - distributionPlot.m: main function that allows creating violin plots - histogram.m: generate histograms with ideal bin width given the number of data points and the spread (Freedman-Diaconis rule). Note that for integer-valued data, each integer gets its own bin. - plotSpread.m: plot point clouds with no overlap. Works well for small number of data points, i.e. when there are less than ~20 values per bin.

generation of different kinds of random variables

蒸发器非线性模型仿真，包括蒸发器模型s函数(control system for evapor including sfun of nonlinear model)