滤波程序

说明：  经典神经生物电模型 matlab simlink 开发(This is a simulation of Hodgkin-Huxley equations using simulink blocks. )

matlab 两种写出泊松分布序列的程序(matlab possion code)

Linear and Nonlinear Programming

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)

matlab数据统计与分析教学资料 ppt文件 可下载使用(matlab statistics and analysis of teaching materials ppt file can be downloaded using the)

使用matlab编写的语音信号处理程序，全套程序都有，可以出结果(Prepared using matlab speech signal processing procedures, has a full set of procedures, results)

一维线形阵元的music算法DOA估计，参数为3个信号源，8阵元接收(one-dimensional linear array of music DOA estimation algorithm and parameters for the three signal sources, eight receiving element)

This code computing unicriterion net flow scores in PROMETHEE II in matlab programming.

matab 和C++联合用于SLSVM 很有用，比利时大拿弄出来的东西(matlab and C++ together for SLSVM)

该文件是定性趋势分析代码，可以自动根据准确率要求自动选择阈值，拟合数据变化趋势，预测数据变化(This file is a qualitative trend analysis code that can automatically selected automatically based on the accuracy of the threshold requirements, fitting the data trends, forecasting data changes)