ASK---FSK---PSK

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)

another progaram that has been in matlab

matlab针对股指期货的分笔数据做的交易策略(matlab trading system for index futures)

mtalab中继节能仿真实现。。。。。。。。。。。。。。。(mtalab relay energy simulation. . . . . . . . . . . . . . .)

太阳能阵列模型，以测试通过并与PSIM自带模型对比。(Solar array model)

This is a clock recovery matlab code. This file is using a 4-PAM signal shape and the recovery method is DD recovery method. This file is a mfile.

C++Builder调用matlab的COM总结. 本文就一个具体的例子介绍C++Builder5和Matlab6.5通过COM 实现混合编程的具体实现。(C++ Builder COM call matlab to sum up. This paper describes a specific example of C++ Builder5 and Matlab6.5 through COM concrete realization of hybrid programming.)

ARMA方法预测风速，利用风速测量值计算出预测值(ARMA method to predict network speed)

说明：  用matlab画电场,MATLAB与FDTD联合仿真，绘制出电场磁场电流分布图(Matlab to draw the electric field)

英国剑桥出版社出版的bootstrap一书的附录程序(Cambridge, England published a book on the bootstrap procedure in Appendix)