scriptbpsk_ber

在matlab编程环境下，实现一个跟windows自带近似的画图板程序。(In the matlab programming environment with windows built to achieve a similar drawing board procedures.)

使用CRgn对象得到某一特定区域，C++精选学习源码，很好的参考资料。(Use the CRgn object to get a specific area, select learning C++ source code, a good reference.)

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.)

通过画图找出一个boxcox转换的lambda值(Find out the lambda value of a box Cox transformation by drawing)

simple code to dufuzzifier in fuzzy logic control

基于MATLAB开发环境下的SVM机器学习聚类分析(SVM-based machine learning clustering analysis under MATLAB development environment)

设计仿真信号，并进行仿真信号的边际谱分析(Hilbert Spectrum)

分数阶傅里叶变换,用于处理信号的一种工具。(Fractional Fourier Transform)

Tennessee Eastman challenge

说明：  用R语言写出的copula-GARCH函数(copula-GARCH function using R language)