matlab

说明：  梅花生长仿真效果，使用C++和matlab实现(Plum growth simulation effect, the use of C++ And realize matlab)

悬置刚度、阻尼测试数据处理 (Function to process data from measurement of stiffness and damping)

It is about the simulation of brag fiber grating.Using direct analytical method to determine the variation of reflectivity vs length curve

toolbox for pattern recognition

说明：  Matlab火焰烟雾检测(GUI) 本设计为基于matlab的烟雾火焰火灾识别系统，可读取视频或者图象，检测出是否有烟雾火焰，具备一个人机交互式GUI界面，功能强大，识别准确，同时配备相对应的操作说明和运行效果图，直接运行GUI文件即可完美运行。另外，诸如车牌，人脸，图象去雾，压缩，水印，疲劳检测，人数统计，声音信号处理等均可做技术交琉，欢迎一起探讨。(Matlab flame smoke detection (GUI) This design is a smoke and flame fire recognition system based on MATLAB. It can read video or image, detect whether there is smoke and flame. It has an interactive GUI interface with powerful function and accurate recognition. At the same time, it is equipped with corresponding operation instructions and operation effect diagram. Running GUI file directly can run perfectly. In addition, such as license plate, face, image defogging, compression, watermark, fatigue detection, number of people statistics, sound signal processing, etc. can do technology jiaoryu, welcome to discuss together.)

很不错的粒子滤波器入门程序，在一个外国网站下载的(Very good particle filter entry procedures, in a foreign Web site download)

k means techniques de classification non supervisée (clustering) les plus utilisées. Etant donné un entier K, K-means partitionne les données en K groupes, ou "clusters", ou "classes" ne se chevauchant pas. Ce résultat est obtenu en positionnant K "prototypes", ou "centroï des" dans les régions de l espace les plus peuplées. Chaque observation est alors affectée au prototype le plus proche (règle dite "de la Distance Minimale"). Chaque classe contient donc les observations qui sont plus proches d un certain prototype que de tout autre prototype

说明：  利用方差分量估计求解GPS单点定位坐标，效果较佳(Using variance component estimation to solve GPS single point positioning coordinates, was better)

UWB Pulse Generator using Simulink

omp 算法 你可以通过这个算法完成图像恢复，效果好，恢复时间短，误码率低，解决凸优化算法复杂度高的缺点(omp algorithm you can accomplish by this algorithm for image restoration, good effect, shorter recovery time, error rate, to solve the shortcomings of convex optimization algorithm with high complexity)