matlab

matlab经典程序，里面代码简洁，功能强大，视频资料我也有(matlab classic program, which the code is simple, powerful, video material I have)

ldpc在BSN信道下的性能仿真，程序较简单，但可以运行，仅供参考(ldpc in the performance of BSN channel simulation, the program is relatively simple, but it can run for reference only)

利用matlab 做拟合的图表 两个序列进行拟合 并画出拟合后的图和残差 另外作图的过程是每次都取相同的一段数据 且起始点不断往后推(Using matlab to do a chart to fit the proposed merger of two sequences and residual process diagram plotting another draw after fitting is always take the same piece of data and constantly pushed back the starting point)

模式识别中的模糊聚类，采用隐马尔科夫链，考虑了先验概率，进行图像识别。(Pattern recognition, fuzzy clustering, using hidden Markov chain, taking into account a priori probability for image recognition.)

(不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN 威胁评估的 MPC UAV 路径规划算法。通过多组仿真分析表明，在三维动态环境下，特别是威胁尾随无人机时，基于 DBN 威胁评估的 MPC无人机路径规划算法可以得到有效的无人机路径。(The model predictive control (MPC)path planning algorithm can solve the problem of dynamic unmanned aerial vehicle (UAV)path planning.Dynamic Bayesian network (DBN)is an effective tool for rea-soning and threat assessment.Considering the problem of path planning when the dynamic threat tags the UAV,the MPC path planning algorithm combined with DBN threat assessment is presented,which used the threat lever probability to describe the threat situation.A group of simulations demonstrate the efficiency of MPC three-dimensional dynamic path planning algorithm for UAV based on DBN threat assessment especially when the dynamic threat tags the UAV.)

说明：  开关磁阻电机电流控制仿真，主要仿真电机电流环的控制，可进行ccc和apc控制。(The current control of simulate for Switched Reluctance Motor.)

AN EXCELLENT OUTPUT ORIENTED DESIGN OF BRUSHLESS DC MOTORS

一个支持向量机的matlab工具箱，具有分类、拟合等功能，希望大家下载研学阿！(A support vector machine matlab toolbox, with a classification, fitting functions, I hope you download the research study Ah!)

关联度误差分析，全平均预测法算例，一次平均预测，一次指数滑动预测，二次平均滑动预测(Correlation of error analysis, the average prediction example, a average forecast, a slide index prediction, quadratic average sliding prediction)

说明：  实现驾驶员模型的模块化，进行集成控制，减小侧偏角度(Realize the driver model of modularization, integration control, reduce the lateral deflection Angle)