DE

说明：  用Jacobi和Gauss-seidel方法解方程组。并比较迭代次数，是误差小于10E-3(Use of Jacobi and Gauss-seidel method to solve equations. And compare the number of iterations is less than 10E-3 error)

ARMA源程序，需要spa_corc.m文件支持。(ARMA source, need spa_corc.m file support.)

LMD算法，对信号进行LMD分解，分解的层数可由自己定，并且能得出分解波形，可运行(LMD algorithm , the signal LMD the decomposition of the layers may themselves be, and can come to decompose waveforms can be run.)

应用matlab/simulink 对汽车自动离合器进行控制仿真(applying the matlab/simulink to simulate the automated clutch of vehicle)

用MATLAB分析偏微分方程，使用专门代码和PDFTool(Analysis of partial differential equations with MATLAB, the use of specialized code and PDFTool)

说明：  matlab 中的ＢＰ神经网络　处理信号　欢迎下载(matlab ＢＰ)

参考《Multiple Object Tracker Using K-Shortest Paths》实现的代码，使用K最短路径实现多目标追踪功能。(Reference " Multiple Object Tracker Using K-Shortest Paths" to achieve code, use the shortest path K multi-target tracking capabilities.)

代码实现了二阶AR模型的最优权值递推，使用了LMS和RLS两种方法，对二者性能进行了比较，分别进行了单次和100次平均进行性能观察，并且仿真了不同步长因子对LMS算法的影响以及不同lamda值对RLS算法的影响。文档包含了模型的详细介绍以及2种方法的理论仿真和结果分析。代码以附在之后。(Code to achieve the optimum weights recursive second order AR model, the use of LMS and RLS are two methods were compared for the two properties, were observed and 100 times the average per-performance and simulated sync Effect of a growth factor RLS algorithm impact on LMS algorithm and different lamda value. Document contains the results of theoretical simulation and detailed description of the model and two methods of analysis. Code annexed.)

processing and database for sar images

信号与系统在MATLAB中的实现，给出了各种信号处理基本方法的源码实现(Signals and Systems at the MATLAB implementation, give a variety of basic methods of signal processing implementation of the source)