key-frame-extraction

Distributed Localization in Wireless Ad Hoc

User manual 475 Field Communicator

时间序列应用实例:时间序列分解，一次直线回归于预测检验(Application examples of the time series: time series decomposition, a linear regression prediction test)

麦克风阵列的节点定位 运用MDS进行位置标定(Node localization of microphone array MDS)

一个比较详细的模糊控制程序开发实例，很适合初学者！(A more detailed example of fuzzy control program development, it is suitable for beginners!)

单服务台系统仿真单服务台系统仿真单服务台系统仿真单服务台系统仿真(Single Desk Single Desk system simulation simulation simulation single single-desk system help desk system simulation)

这是关于RS编码的程序，希望能给大家带来帮助，(it is a program of encode and decode of rs to a picture)

免疫粒子群算法，这种免疫粒子群优化算法结合了粒子群优化算法具有的全局寻优能力和免疫系统的免疫信息处理机制，并且实现简单，改善了粒子群优化算法摆脱局部极值点的能力。(Immune particle swarm algorithm, this immune particle swarm optimization PSO combines the global optimization ability of the immune system and immune mechanisms of information processing algorithm, and the simple, to improve the PSO' s ability to get rid of the local extreme points .)

在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications)

合成孔径雷达（SAR)目标成像仿真，用于信号特征提取、信号消噪，在matlab环境中自动识别连通区域的大小,正确率可以达到98％，使用大量的有限元法求解偏微分方程，仿真图是速度、距离、幅度三维图像。( Synthetic Aperture Radar (SAR) imaging simulation target, For feature extraction, signal de-noising, Automatic identification in the matlab environment the size of the connected area, Accuracy can reach 98 , Using a large number of finite element method to solve partial differential equations, FIG simulation speed, distance, amplitude three-dimensional image.)