DataGenerator

无功补偿STATCOM的simulink建模，采用直接电流(STATCOM reactive power compensation Simulink modeling, using direct current)

说明：  利用设置网卡为混沌模式，采用原始套接字的方式截获发向本机的ip包，并分析包的类型，源ip地址，目的ip地址，传输层协议等(card installed for the use of Chaos mode, using original socket intercepted a way to the machine ip packet, analysis of packet types, source ip address, purpose ip address, such as transport protocol)

说明：  Ku波段低相噪频率源的研制，KU波段下行转发器发射功率大（大约在100W以上），能量集中，方便接收，，，(the research about Ku)

matlab灰度图像的边缘提取：直方图均衡化，canny算子实现一阶偏微分，计算梯度幅值和方向(matlab Gray Image Edge Extraction: histogram equalization, canny realization of first-order partial differential operator, calculate the gradient magnitude and direction)

VC++与MATLAB混合编程及其应用 摘 要 本文详述了在VC++6.0编译环境下如何利用Matlab来实现应用系统的设计和分析，介绍了通过Matlab与VC应用程序连接的常用方法，分析了VC与Matlab的混合编程的步骤，最后通过一个具体实例的实现过程对上述方法进行了应用性介绍。 ()

Transformaç ã o Linear

C/C++ Heart monitor sample application

mfc下通用的文件，该文件是人工萤火虫算法的matlab代码实现。(mfc under common file)

Ar气在CO2激光作用下的电离mmatlab程序代码。 (Ar gas effect of CO2 laser ionization mmatlab program code.)

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)