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eBook - Industrial Strength C++ - Visual C++ guide

许多工程软件需要用到复杂的数学算法。VC++能够形成各种用户界面， 并可以直接与系统及底层硬件交换数据。因此研究VC++和Matlab 的混合编程具有很大的实际意义。该文讨论了如何使用Matlab 的Complier 将*.m函数编译为动态链接库DLL， 提供给VC++调用的方法， 提供了一种VC++与Matlab 混合编程的快速实现。(Many engineering software need to use complex mathematical algorithms. VC++ can form a variety of user interface, and can directly exchange data systems and the underlying hardware. Therefore, VC++ and Matlab of mixed programming of great practical significance. The article discusses how to use Matlab' s Complier to*. m functions compiled as dynamic link library DLL, VC++ provided to the invoked method, provides a mixed VC++ and Matlab programming fast implementation.)

一些简单最优化方法的matlab实现，及一些方法(Some simple optimization method matlab implementation)

空间插值方法汇总Inverse Distance to a Power（反距离加权插值法） Kriging（克里金插值法）Minimum Curvature（最小曲率）Modified Shepardd s Method（改进谢别德法）Natural Neighbor（自然邻点插值法）Nearest Neighbor（最近邻点插值法）Polynomial Regression（多元回归法）Radia (Spatial interpolation method summary Inverse Distance to a Power (inverse distance weighted interpolation) on Kriging (kriging) Minimum Curvature the (smallest curvature) Modified Shepardd s Method (improved Xiebie De law) Natural Neighbor (natural neighbor interpolation) Nearest Neighbor (nearest neighbor interpolation) Polynomial the Regression (multiple regression) Radia)

Very low cost, low component count charger/adapter – replaces linear transformer based solutions • Extremely simple circuit configuration designed for high volume, low cost manufacturing

说明：  有两个矩阵a和b，均为2行3列。求矩阵之和。(There are two matrices a and b, are two rows 3. Demand matrices, and.)

说明：  滑膜变结构控制的matlab仿真研究与分析，这个不错(Synovial matlab simulation of variable structure control research and analysis, this looks good)

vb语言实现的卡尔曼滤波源程序源码 （没有测测试，输出部分要配合相应的过程） (the vb language Kalman filtering source source (not detected by the test, the output section with the corresponding process))

说明：  VC6.0 读写matlab7.0的mat文件.分享此段代码，运行成功。(read the mat file of the matlab7.0,under the vc6.0)

The MU-MIMO channel put forward by SAMURAI is based on the well established WINNER II GSCM [5]. We present an analysis of this model wrt its ability to model MU-MIMO channels correctly and propose some improvements to the original model. The model has also been implemented in C and will be used for further system level simulations.