PCM编码&解码

matlab例程，非常好用，便以移植,bianyuxuexi(matlab routines, very easy to use, then to transplant, bianyuxuexi)

粒子群算法（PSO）优化BP神经网络，用来进行非线性的校正，效果良好(Particle swarm optimization (PSO) to optimize BP neural network, used for non-linear correction, to good effect)

贪婪随机自适应搜索法(GRASP)，使用随机化的最小最小完成时间算法来产生问题的初始解,再通过变邻域下降算法来改进这个解。(Greedy randomized adaptive search method (GRASP), the minimum use of randomized algorithm to generate the minimum completion time of the initial solutions of the problem, and through the variable neighborhood descent algorithm to improve the solution.)

模型预测控制算法由于采用了多步预测、滚动优化和反馈校正等控制策略，因而具有控制效果好、鲁棒性强、对模型精确性要求不高的优点。 希望对相关人有帮助(Model predictive control algorithm using a multi-step prediction , rolling optimization and feedback correction, control strategies, and thus has good control effect , the robustness of the model accuracy and less demanding . Related people)

Evaluation of the effect of dielectric property of blood cell responses to hypoxia by the impedance method

压缩感知里面的稀疏重建问题，在原来MP的算法的基础上，提出了分块的思想，即将原子库分块后，测试算法的性能。(Compressive sensing is refered as the block sparse algorithm is described,that is based on the original MP algorithm,and the atom libruary is divided into blocks ,and the performance is testified.)

Volume of a ball using monte carlo

complete viterbi decoder in MATLAB

(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：  基于神经网络的模糊控制实例，包括中央空调、锅炉系统等(Examples of fuzzy control based on MATLAB, including central air conditioning, boiler system, etc)