chap2

这里是一些VC与matlab混合编程的最新技术资料。有些是介绍了在VC ++调用Matlab的常用方法及各自特点，还有一些是介绍VC与matlab混合编程的实例。(Here are some VC mixed with matlab programming information on the latest technologies. Some are introduced in VC++ calling Matlab common methods and their own characteristics, and some is to introduce the VC with the matlab programming examples of mixing.)

说明：  利用在 MATLAB Simulink 中的 SimMechanics 工具箱，在 Matlab 中搭建了机器人的机构模型，结合运动学数学模型，实现的机器人的运动模拟实验，并且通过末端执行器输入运动参数与输出运动参数的对比，验证了所建立的运动学模型的正确性。最后根据机构的实际限制条件，限制了两个主动臂的最大转动角度，结合正向运动学模型，得到了整个机器人末端执行器的极限运动位置坐标以及整个运动空间(Using the SimMechanics toolbox in MATLAB Simulink, the mechanism model of the robot is built in MATLAB. Combined with the kinematics mathematical model, the motion simulation experiment of the robot is realized. The correctness of the kinematics model is verified by comparing the input and output motion parameters of the end actuator. Finally, according to the actual constraints of the mechanism, the maximum rotation angle of the two active arms is limited. Combined with the forward kinematics model, the limit motion position coordinates and the whole motion space of the end effector of the whole robot are obtained)

针对谐波检测问题，比较几种常用谐波检测方法，总结出各自的适用条件。结合经验模态分解理论和总体平均经验模态分解(empirical mode decomposition，EEMD)算法，提出基于EEMD的谐波检测方法。(For harmonic detection problem, comparing several common harmonic detection method, summed up their applicable conditions. Combining theoretical and empirical mode decomposition overall average empirical mode decomposition (empirical mode decomposition, EEMD) algorithm, based on harmonic detection method EEMD.)

A*算法路径规划，有详细介绍文本 适合于初学者，学习算法。(A* algorithm for path planning, a detailed text is suitable for beginners, learning algorithms.)

CONVNFFT_Folder programming

说明：  Matlab通信仿真与应用 刘敏 魏玲编著(Matlab simulation and application of communication edited by Liu Wei Ling)

multilayer perceptron sample

用MATLAB实现FIR，包括常用窗函数代码(Using MATLAB FIR, including the commonly used window function code)

AUTO CORRELATION AND CROSS CORRELATION FOR GOLD CODE

说明：  用MC方法来求pi 正方形与圆形的面积比 最简单的方法(MC method with the easiest way to find pi)