VC-and-MATLAB

用vc调用matlab7.0写的小程序，可以实现简单的控制系统仿真演示(with vc call matlab7.0 write small programs, can achieve a simple control system simulation demo)

用VC调用matlab的dll文件(VC call Matlab dll file)

说明：  Running test programming

采用c++调用matlab写的一个sift算法，其中调用matlab只是使用其中几个函数。可以很准确的检测出sift特征点。(Using c++ to call a matlab write sift algorithm, which used to call only a few matlab function. Can accurately detect the feature points sift.)

基于矩阵笔方法的稀疏阵列综合，是一篇引用率很好的文章(matrix pencil)

描述了LTE一个信道的Turbo编码以及速率匹配等，有助于对LTE的协议理解。(A description of LTE Turbo channel coding and rate matching, etc., contribute to understanding of the LTE protocol.)

#include "comparer.h" #include <iostream> using namespace std int Comparer::compareByName(Student& s1,Student& s2) { return strcmp(s1.m_szName,s2.m_szName) } int Comparer::compareBySurname(Student& s1,Student& s2) { return strcmp(s1.m_szSurname,s2.m_szSurname) } int Comparer::compareByGroup(Student& s1,Student& s2) {

实现彩色图象的读取,以及回度图象的读取,及相关的变换(Achieve color image reading, and reading back of the picture, and the associated transformation)

一张图片是之前用摄像机采集的，另一张图片是经过离散沃尔什变换再量化编码压缩后又解压所得，能看出区别吗？呵呵。flik.m是原图，newflik.m是新图。 附上所有MATLAB源程序，有兴趣的话，你也可以用这几个程序对自己的照片“加工”一番。以下6个程序分别保存为6的m文件，文件名与下面给出的一致。待“加工”图片应该存放在Matlab的Work目录下。(Before a picture is collected by the camera, another picture is the result of discrete Walsh transform and then re-quantization coding compression decompression income, you can see the difference? Ha ha. flik.m is the image, newflik.m is a new map. MATLAB source code attached to all interested, you can also use these procedures on their own photo processing of something. The following six procedures were saved as 6 m file, the file name is given with the following consensus. To be processing picture should be stored in Matlab s Work directory.)

说明：  matlab高效编程程序源代码第七章，可以运行。(efficient programming source code matlab Chapter VII, to run.)