multi_user_MIMO

本书共分5篇48章。主要介绍MATLAB提供的统计、优化、偏微分方程数值解、样条和曲线拟合等5个与工程计算关系密切的工具箱。其中统计工具箱、优化工具箱、偏微分方程数值解工具箱和样条工具箱的介绍在国内图书中最全面，并且实例丰富，本书的内容紧随版本的最新变化。(Matlab Engineering Mathematics)

PSO：粒子群优化算法，用C++和matlab两种语言实现的 RVM:相关向量机，比SVM更高级些 样本熵和近似熵：计算动态系统中时间序列的一个重要手段(PSO: PSO algorithm, using C++ and matlab realization of two languages RVM: relevance vector machine, some more advanced than SVM Sample entropy and approximate entropy: Calculating an important means of dynamic system in time series)

高斯过程隐变量模型的matlab源代码，实现了back-constraint 加速(gaussian processes latent variable model)

说明：  dbscan聚类算法在matlab上的实现(Implementation of DBSCAN cluster in MATLAB)

基于matlab语言的EMC程序，使用FDTD算法(EMC program based on Matlab language, using the FDTD algorithm)

explicit FDM for 1_2D_parabolic partial differential equation

联合Optisystem与matlab仿真的OFDM子程序(Optisystem & matlab co-simulation)

simulation aodv simulation aodv

Estimate pdf of data set spanning orders of magnitude

基于径向基神经网络的无网格法及其应用，神经网络的应用(Radial Basis Function Neural Network Based on the non-grid method and its application)