2006141121337

说明：  运用VC编写的如何在VC中调用MATLAB(use in the preparation of the VC Calling MATLAB)

EMD算法，经验模态分解，信号处理与分析方面用到，算法很简单，中文(EMD algorithm, the empirical mode decomposition, signal processing and analysis used, the algorithm is very simple, Chinese)

系统采用的是直接标定摄像机内部参数的算法，算法借助于标定参照物直接计算摄像机的内参数。整个系统是在VC++环境下设 计并实现的，并借助了IPL和OpenCV的帮助，只要输入标定物的图像，系统就可以迅速而又准确地输出摄像机内参数的结果。通过3D 重构实验证明了该系统的有效性。相对于MATLAB实现方式，该系统使用更加方便、快捷。 (System are directly used in the internal parameters of the camera calibration algorithm, calibration algorithm by means of direct calculation of reference within the parameters of the camera. The entire system is in VC++ environment to design and implementation, and with the help of IPL and OpenCV, as long as the input image calibration objects, the system can be output quickly and accurately the results of camera intrinsic parameters. Through the 3D reconstruction of the experiment proved the effectiveness of the system. MATLAB implementation vis-à-vis the way the system more convenient to use, fast.)

24G高集成度微波雷达芯片,一发二收，可组成阵列天线，数据处理后精度可达mm级(24 GHz transceiver MMIC with one transmitter and two receiver units • Fully integrated low phase noise VCO • Switchable prescaler with 1.5 GHz and 23 kHz output • On chip power and temperature sensors • Gilbert based homodyne quadrature receiver • Single ended RF input terminals)

用matlab 实现强噪声中弱信号的提取，可产生图像 一次生成(Using matlab to achieve strong noise in the extraction of weak signal can produce a generation of images)

纯弯构件受力分析，曲率-弯矩关系，荷载-挠度关系。(Pure bending component stress analysis, curvature- the moment the relationship between the load- deflection relationship.)

matlab所有应用程序，很实用,很好很好大家收藏哦，赶快下载(matlab all applications, very practical, very, very good everyone Favorite oh, quickly download)

图像压缩算法的各种算法，用VC++实现，直接可以编译运行(Image compression algorithms algorithms, using VC++ implementation can be compiled to run directly)

sin 函数功能，用matlab，比较常用，大家可以做个参考(function of sin by matlab)

在二维空间里有两个点A=(X1，Y1)和B=(X2，Y2)，如果X1>X2并且Y1>Y2 ，我们认为A优于B，A是这个集合的最大极值点，在给定的二维空间里的N个点的集合S中，找出最大极值点。(In two-dimensional space, there are two points = A = (X1, Y1) and B (X2, Y2), if the X1 and Y1 > X2 > Y2, we think that A is superior to B, A is the biggest extreme value point of the set, in A given set of N points in the two-dimensional space S, find out the most extreme value point.)