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UKF无迹卡尔曼滤波用于地磁场的计算，但由于保密原因，录入的数据信息已删除，主要用于UKF框架的交流(Unscented Kalman filter UKF is used to calculate the magnetic field, but because of confidentiality reasons, the entry of data has been deleted, the main framework for the exchange of UKF)

libevent源码分析,具体的一般实现(libevent)

说明：  matlab例程，图形修饰界面，有数据和m文件。 (Matlab routines, graphics interface modification, data and m documents.)

田纳西伊斯曼过程的matlab仿真模块 直接操作即可产生数据 希望对初学者能有帮助 并且可以找到对应的经典文献(Tennessee Eastman process of matlab simulation module direct operation can produce data hope to help beginners can and you can find the corresponding classical literature )

说明：  通过灰色关联分析理论，得到灰色关联度，直接输入数据即可得到结果。(Calculation of correlation degree by grey correlation analysis)

强主动声纳信号干扰被动声探测的仿真分析.被动声探测是探测和跟踪水中噪声目标的重要手段,但强主动声纳信号的出现将对被动声探测产生很强的干扰作用,影响被动声纳对噪声目标的检测或跟踪。本文通过计算机仿真,分析被动声纳的积分时间、强主动声纳信号的强度、脉冲宽度和发射周期四个因素对强主动声纳信号干扰被动声探测程度的影响。(Simulation analysis of passive acoustic detection of a strong active sonar signal interference passive acoustic detection is an important means to detect and track water noise goals, but the emergence of strong active sonar signal will be passive acoustic detection generate strong interference effect, the impact of passive acoustic satisfied noise target detection or tracking. This paper through computer simulation, and analysis of the four factors of the integration time of the passive sonar, a strong active sonar signal intensity, pulse width, and launch cycle impact of passive acoustic detection of a strong active sonar signal interference.)

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基于FPGA的system generator的图像旋转处理，利用system generator的图像旋转处理程序。本程序是基于system generator下的matlab运行。(FPGA-based image processing system generator rotation, the use of image rotation system generator handler. This procedure is based on matlab run under the system generator.)

有均匀线阵的CRB曲线，MIT人工智能实验室的目标识别的源码,ML法能够很好的估计信号的信噪比。( There ULA CRB curve, MIT Artificial Intelligence Laboratory identification of the target source, ML estimation method can be a good signal to noise ratio.)

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