ML

该工具包是最新版本的copula工具厢。可实现copula建模，并有copula函数可选择。((The toolkit is the latest version of the pair copula toolkit. The copula modeling of high dimensional data can be realized, and sometimes the copula function can be selected.))

交织码的突发信道仿真研究，应用了10x10矩阵，内码为汉明码(Code intertwined sudden channel simulation research, application of the 10x10 matrix, with the code for the Hamming Code)

xPC Target 工具箱使你可以在 Simulink 的框图中加入 I/O 方块图，并用 RTW 产生代码，最后下载到另一个运行 xPC Target 实时内核的 PC 机上。对于控制和 DSP 系统来说 xPC Target 是理想的快速原型和硬件在回路测试工具，它可以使你在一台标准的 PC 机上运行实时模型。如果附加 xPC Target 嵌入模块选项，你可以把你的实时嵌入式系统放入到一台微机上，应用于生产、数据采集、标定和测试应用程序等过程中。 (xPC Target toolbox allows you to add in the Simulink block diagram of the I/O block diagram, and use RTW generated code, and finally downloaded to another running xPC Target real-time kernel of the PC machine. For the control and DSP systems is ideal for the xPC Target rapid prototyping and hardware in the loop testing tool that allows you to a standard PC, running real-time model. If the additional xPC Target Embedded Module option, you can put your real-time embedded systems to a microcomputer applied to the production, data acquisition, calibration and test applications such as process. )

matlab程序，计算时间差，爱好matlab编程的可以下载(matlab program to calculate the time difference, love can download matlab programming)

改进的过零检测方法以及计算RMS有效值的MATLAB程序(Improved zero-crossing detection method and MATLAB program to calculate RMS value)

图像认证技术，源码最新下载自美国名校The University of Texas at Austin的Brian L. Evans教授的实验室网站 (Matlab programs for image authentication downloaded from Professor Brian L. Evans in University of Texas at Austin in USA)

Semi-grand ensemble simulations and Gibbs-Duhemintegration

模糊自适应PID 更改模糊规则、隶属函数、系统传递函数即可获得不同系统的模糊自适应PID控制算法(Fuzzy adaptive PID change the fuzzy rules, membership function, the system transfer function can be obtained fuzzy adaptive PID control algorithm of the system)

讲述广义控制算法，附带说明文档。研究生课程之一的大作业(About the generalized control algorithm, with documentation. One of the largest postgraduate work)

two dimensional gausian