CubeView

检测NAT类型的客户端，程序中指定了服务器IP地址，用户可以自行修改(Detect NAT type of the client, the program specifies the server IP address, the user can modify)

GMS社区 846465456894897(GMS community 846465456894897)

kalman 滤波器，初学者的参考,最好先学习一下其推到过程(kalman filter, the reference for beginners, it is best to first learn about the process of pushing)

支持加密Sqllite库，vs2008 + sqlite3 + sqlcipher,测试可用(Supports encryption Sqllite library, VS2008+ SQLite3+ sqlcipher, testing available)

说明：  数据库控件，用vc编写，操作sql server数据库(database controls, using vc preparation, operation sql server database)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

this mi test m-file for matlab program

在对话框中加载菜单，VC++精选编程源码，很好的参考。(In the dialog box to load the menu, select VC++ programming source code, a good reference.)

voronoi图的Fortune算法源码,visual c++(Fortune s algorithm source code of voronoi diagram with visual c++)

对超声图像的去噪和分割，可以显示肿瘤图像的边缘和面积(For ultrasound image denoising and segmentation, image can show the tumor edge and area)