VMware-service-start

Feature Extraction from EEG

机动目标的跟踪问题一直是人们研究的重点，实现机动目标精确跟踪，首要解决的问题就是使所建立的目标运动模型与实际的目标运动模型匹配。目前常用的有多模型(MM)，交互式多模型(IMM)，切换模型等。多模型方法就是对一组具有不同机动模型分别进行Kalman滤波，最终的参数估计是各滤波器估计值的加权和；在多模型基础上，Shalom提出了交互式多模型方法，这一方法对无序目标的机动检测，显示了更好的鲁棒性和跟踪的稳定性；切换模型则是分别建立机动和非机动运动模型，利用机动检测实现在这两个模型之间的切换。一般来说，交互式多模型的跟踪性能较好。(mobile target tracking problem has been a focus of research and achieve precise maneuvering target tracking, the most pressing issue is to enable the establishment of the target model and the actual movement of the target model matching. At present, more commonly used model (MM), interactive multi-model (IMM), switching model. Multi-model approach is a group of different mobile models were Kalman filtering, The final parameter is the estimated value of the filter is estimated weighted; in the multi-model basis, Shalom made the interactive multi-model approach that the objectives of the motor disorder detection, better show the robustness and stability of the track; switching model is set up motorized and non-motorized sports model, the use of mobile testing to achieve in this model between)

glcm examples in matlab

matlab 实现的odfs跟踪算法,功能强大新颖(matlab method)

股票时间序列拟合算法，包括简单移动平均，加权移动平均等利用matlab实现(Stock time series fitting algorithms, including simple moving average, weighted moving average and so the use of matlab to achieve)

液压缸模型 用simulink建立，直线型液压缸 积分阀(cylinder model)

matlab机械优化设计实例课件，及一个实例源代码(matlab mechanical optimal design courseware, and an example source code)

说明：  为了减少边缘检测中的噪声影响,设计了一种分数阶差分滤波器,给出了该滤波器的原理,分析了此类滤波器的幅频特性.(In order to reduce the effect of the noise in edge detection,a kind of fractional-order difference filters were designed,whose theory was worked out and amplitude-frequency characteristic were analyzed.)

基于matlab的直方图处理，增强细节处理效果，暗处细节可以得到更好体现，并显示处理前后的直方图(Matlab histogram processing to enhance the details of the treatment effect)

cogeneration function, plot costs, combustible mass, user needs