MMSE_test

计量经济学的统计回归相关工具包，包括最优化、VAR-CVAR(toolboxes related in statistics and regression, including optimization and VAR-CVAR model)

Solving an upper triangular system U x = b by back-substitution Solving a lower triangular system L x = b by forward-substitution(backward substitution and forward substitution)

Zero Forcing 联合 STBC 编码仿真，自带STBC编码，很全的。(Zero Forcing joint STBC encoder emulation, comes with STBC encoding is complete.)

fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm format: [u,sig,t,iter] = fit_mix_gaussian( X,M ) input: X - input samples, Nx1 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian sig - fitted standard deviation for each gaussian t - probability of each gaussian in the complete distribution iter- number of iterations done by the function

简单的文件浏览器，可以浏览文件并打开所浏览文件。(A simple file browser, you can browse the file and open the browse file.)

模型预测控制算法MATLAB的编程.m文件。具有抗干扰能力，算法优异。(Model predictive control algorithm based on MATLAB programming. M file. With anti-jamming capability, the algorithm is excellent.)

matlab的复杂网络的工具箱的说明书文件matgraph图论工具箱使用说明(matgraph tool paper)

gmcalab 快速广义的形态分量分析，基于K均值的PSO聚类算法,PLS部分最小二乘工具箱。( gmcalab fast generalized form component analysis, K-means clustering algorithm based on the PSO, PLS PLS toolbox.)

本程序是用于波束形成的MMSE算法。实现了对MMSE算法的matlab仿真。(This procedure is used MMSE beamforming algorithms. Realized on the MMSE algorithm matlab simulation.)

该代码是书籍源码，是matlab的书的源代码，里面是算法实例，(The source code is the book, the book is the matlab source code, which is the algorithm instance,)