HV-non-compesated-line

说明：  基于matlab/simulink环境，对异步电机的一个仿真，能够得到完整的仿真结果，是直接转矩控制的基础部分。(Based on matlab/simulink environment, a simulation of the induction motor, can be a complete simulation results, is a fundamental part of the direct torque control.)

OFDM系统级的仿真，里面涉及到卷积编码，交织，qpsk调制等(OFDM system-level simulation, which relates to convolutional coding, interleaving, qpsk modulation)

讲述了卡尔曼在MATLAB中的应用以及几个样例，可以让读者理解其简单应用(Kalman described in MATLAB, as well as several sample applications that can help readers understand the simple application)

统计信号处理基础完整 经典教材习题解答 作者手写扫描 包含检测理论与估计理论两个部分(Complete statistical signal processing base Classic textbook exercises answers Author scanned handwritten Consists of two parts detection theory and estimation theory)

通过在MATLAB里编写M文件来建立结晶机的动态数学模型。(MATLAB years through the preparation of M files to create dynamic mathematical model of crystallization machine)

这是matlabdaima,用来计算RBF输出值很有效(This is matlabdaima, used to calculate the RBF output is valid)

This is a file of matlab code.

ahb lite protocol describes the simple version of ahb protocol.

(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：  二进制粒子群优化算法主代码， 其中bpso_project函数为特征子集评价函数， 对接自己的数据集与评价函数即可使用。(The main code of binary particle swarm optimization algorithm, in which the bpso_project function is the evaluation function of the characteristic subset, can be used by connecting its own data set and evaluation function.)