hexLiuhaiou

在MATLAB的运行环境下 傅里叶变换提取信号系数 相角 幅值(Operating environment in MATLAB Fourier transform to extract the amplitude of the signal phase angle coefficient)

一套科学运算语言 MATLAB 的程序设计有关的函数代码!!!(A set of scientific computing language MATLAB programming code related to the function!!!)

glm for lybrary in the Open GL program, that let you make a file including glm.

说明：  光伏发电系统，电流电压输出曲线波形吐血土建(Photovoltaic systems, current and voltage waveform output curve vomiting civil)

在偏微分方程的数值求解中，有一类很重要的问题就是求解有奇异点的泊松方程，此程序是用C写的并行程序，能极大的提高泊松方程的求解(In the numerical solution of partial differential equations, there is a class of very important issues that have a singular point of solving the Poisson equation, this program is written in C parallel programs, can greatly improve the solution of the Poisson equation)

用C语言或者Matlab编写香农编码的程序(Written with C language or Matlab coding procedures Shannon)

自己在网上看到的一个关于平方根的求值方式，可以参考下(Themselves in line to see a square root to be evaluated on, you can refer to the following)

利用VC＋＋调用MATLAB中的函数进行函数绘图的实例，比较简单的例子。(Using VC to call MATLAB functions in the mapping function of the examples of relatively simple examples.)

获取windows和system32的默认完整路径，初学者可以学习参考一下(Access to windows and system32 default the full path, beginners can learn to refer to)

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)