caviy-matlab-lb-method

通过不同载荷分析船舶运动方程的不同情况，包含较多的水动力导数，同时考虑了波浪谱密度函数的影响，采用了最新的od45方程求解6自由度船舶运动方程(The ship motion equation is analyzed under different loads, including more hydrodynamic derivatives, and considering the influence of wave spectral density function, the latest od45 equation is used to solve the 6-DOF ship motion equation.)

biometric recognition

AM Modulation (informatif signal, redressement, filter, demodulation, filter, amplification)

high pass filter for frequency domain

说明：  一个用小波奇异点监测法来监测心电信号R波的例子，可用在其他信号的奇异点监测上。(a singular point wavelet monitoring method to monitor ECG R-wave example, other signals can be used in the singular point monitoring.)

深度置信网络 径向基神经网络，用于深度学习的matlab代码(the test example code of dbn net, it is the example code in matlab)

simulink 实现atsc的发送和接收。发送为mepg2包。能够计算发送速率和比较BER。(simulink achieve atsc sending and receiving. Send to mepg2 package. Transmission rate can be calculated and compare BER.)

说明：  用matlab实现AR模型 适合应用在预测模型上(matlab source code to achieve the AR model)

(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.)

DRNNdecouplesystemcontrol ,CMACPID,adaptivePIDg(DRNNdecouplesystemcontrol, CMACPID, adaptivePIDg)