OutageCapacityvsSNR

一款RS缩短码的源代码，可修改其中主程序的数据变任意一种RS码的编码器，此程序经多次验证均正确，且采用标准代码格式描写，易读。(A shortened RS code source code, which can modify data in the main program code change any of the RS encoder, this procedure has been repeatedly verified are correct, and the use of standard code format description, easy to read.)

用MATLAB和ANSYS进行振动仿真英文--附带程序包(Using MATLAB and ANSYS simulation of vibration in English- comes with the package)

Tabu search for Job shop

MatLab 几个GUI界面的切换，很简单原理很好理解，会了一个多个就不成问题了，下载后需要建立俩个GUI名字为wenjian和Help_gui.(Switching MatLab several GUI interface, very simple principle well understood, would be a more than one is not a problem, after downloading the need to establish both a GUI named wenjian and Help_gui.)

用Levinson算法，Burg算法，ARMA模型法，MUSIC算法来估算功率谱。并进行比较。(With Levinson algorithm, Burg algorithm, ARMA model method, MUSIC algorithm to estimate the power spectrum. And compared.)

Parabolic Reflector Radiation Pattern

说明：  蒙特卡洛相关的程序，对于进行蒙特卡洛的模拟等(Related to the program of Monte Carlo, Monte Carlo simulation)

EEMD是针对EMD方法的不足,提出了一种噪声辅助数据分析方法。EEMD分解原理为:当附加的白噪声均匀分布在整个时频空间时,该时频空间就由滤波器组分割成的不同尺度成分组成。当信号加上均匀分布的白噪声背景时,不同尺度的信号区域将自动映射到与背景白噪声相关的适当尺度上去。当然,每个独立的测试都可能会产生非常嘈杂的结果,这是因为每个附加噪声的成分都包括了信号和附加的白噪声。既然在每个独立的测试中噪声是不同的,当使用足够测试的全体均值时,噪声将会被消除。全体的均值最后将会被认为是真正的结果,唯一持久稳固的部分是信号本身,所 加入的多次测试是为了消除附加的噪声。(The EEMD collection of experience decomposition is improved on the basis of the EMD more given a data processing method!)

模式识别重要分类器SVM工具箱，采用matlab实现(Important pattern recognition classifier SVM toolbox, adopting the matlab)

说明：  蒙特卡洛法的应用，hhhh电力系统状态估计状态分析，风险评估(Application of Monte Carlo method, state analysis of power system state estimation, risk assessment)