mimo

Dynamic control of 2link manipulator

说明：  五点差分求解椭圆边值问题，简单明了，运行快捷，好用(five points)

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)

field of view to swath converter

高斯脉冲（带波形因子）频谱分析，需设置三个参数：1.波形因子alphamin 2.叠加次数N_alphavalues 3.波形因子步长alphastep(Gaussian pulse (with the form factor) spectrum analysis, the need to set three parameters: (1) form factor alphamin of superposition of a number of times N_alphavalues ​ ​ form factor step alphastep)

说明：  用MATLAB实现雷达回波信号的仿真(Using MATLAB realize radar signal simulation)

自适应子空间辨识，通过输入输出数据，计算状态空间方程，建模并预测。(Adaptive subspace identification, through input and output data, calculates the state space equation, modeling and forecasting.)

随机序列、白噪声序列、M序列产生程序，系统辨识中应用(Random sequence, white noise sequences, M sequences generated procedures, the application of system identification)

Promax 地震数据处理原理和实践，热心网友精心总结 pdf文档(seismic data processing with Pramax,a good summary)

在Visual+C中调用Matlab的其他方法.pdf(In the Visual+ C to call the other methods Matlab. Pdf)