Radar-System-Simulation-matlab

本例利用C MEX及API文件实现matlab与PHD只见的通讯.能实现数据的存取。(MEX and C API documentation can be achieved with Matlab PHD seen communications. To achieve access to data.)

说明：  time series prediction codes. for arma and ar modelling

Tacacs+协议实现源代码，有助于分析Tacacs+协议(Tacacs+ protocol source code)

数字信号处理（Sanjit）（第四版）随处CD，matlab代码(Digital Signal Processing(Forth Edition)(Sanjit),matlab)

卡尔曼滤波器，扩展卡尔曼滤波器，无味卡尔曼滤波器实现，对比(Kalman filter, extended Kalman filter, unscented Kalman filter implementation, compared to)

Matlab和C++混合编程，做出sin x图形(combination of matlab and C++)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)

matlab GUI学习文档，内含26个PDF文档，包括界面使用总结和编程说明(learn matlab GUI reference)

Simple gui components development examples

Kalman Filtering - Theory and Practice Using MATLAB, 3rd Ed.rar