MATLAB2

MATLAB-SVM 决策算法(有向无环图)(MATLAB-SVM decision-making algorithm (directed acyclic graph))

Frank-Wolfe算法 matlab(rank-Wolfe, matlab)

research development biometrics

Database management systems

A load flow solution based on Newton-Raphson method represented. The program has been tested on IEEE 34-bus power system.

将core.txt文件放在C盘根目录下,然后打开matlab，点击“文件”-“打开”选中main.m文件，“运行”这个文件。 命令窗口马上就会显示出运行结果。 mm_Red.m为封装的盲目约简算法.返回值为约简结果. sxzyd_Red为封装的基于属性重要度约简算法.返回值为约简结果. bsjz_Red为封装的辨识矩阵约简算法.返回值为辨识矩阵和约简结果. cal_sig为封装的求属性重要度的函数。 max_min为封装的求属性度最大，划分个数最小的属性的函数。 dele_max为封装的删除属性度最大，划分个数最小的属性的函数。 mycore.m为封装的求核函数. myind为封装的求划分的函数. ind_E_a为求每个属性的划分的函数.(Files on the core.txt to the C root directory, then open matlab, click on " File" - " Open" main.m file is selected, " Run this file. The command window is displayed immediately run results. mm_Red.m the package blindly reduction algorithm. return value reduction results. sxzyd_Red degree reduction algorithm based on attributes important to package the return value is the result of the reduction. bsjz_Red matrix reduction algorithm for the identification of the package. return value identification matrix and reduction results. cal_sig package attribute importance to the function. max_min demand for the package attribute degrees largest division of the function of the minimum number of attributes. delete attribute degrees dele_max package is the largest division of the function of the minimum number of attributes. mycore.m seeking nuclear function package. myind package and by function. ind_E_a for the sake of each attribute divided function.)

lpc 线性分组码的编码方法和应用 lpc线性分组码的优势(LPC linear block code encoding method and application)

hinfini test under matlab

Abaqus自带的有关Vumat的帮助文档的中英文对照版(In bilingual Abaqus comes about Vumat help documentation)

Matlab的OFDM仿真，信道估计，有BER曲线 该程序进行了简单的LMS信道估计，没有加入与MMSE等其他信道估计算法的比较；(Matlab simulation of OFDM, channel estimation, BER curves the program was simple LMS channel estimation, not joined with the MMSE channel estimation algorithm and other comparative )