Fig6x1

相控阵系统学习，包含线阵和矩形面阵的仿真，非常有参考价值。(Simulation learning of Phased array system learning,includeing linear and rectangular array，which is very valuable.)

压缩感知BP,OMP,StOMP算法实现信号重构(BP,OMP,StOMP algorithm for Signal Reconstruction Based on Compressive Sensing)

BUCK电路的双闭环控制matlab仿真，直接能用，参数都设置好了，效果很好。(BUCK circuit double-loop control matlab simulation, can be used directly, parameters are set up, the effect is very good.)

编程实现了F-K变换，可以用于地震数据二维视速度滤波(Programming the FK transform two-dimensional seismic data can be used to filter the apparent velocity)

现代通信信号在matlab中的实现以应用程序(good)

利用matlab编程实现TrAdaBoost算法(Matlab for TrAdaBoost algorithm.)

matlab 学习matlab的一个好例子(Matlab learning Matlab a good example)

matlab生成白噪声程序，直接输入幅值和频率即可(matlab program to generate white noise, amplitude and frequency can be directly input)

(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.)

这是一个优化IIR滤波器的源码,能设计出8个极点8个零点的IIR优化滤波器 (This is an optimal source of IIR filter, designed to 8 0.1 8 pole IIR filter optimization)