MSX60-module

二维的各项异性扩散方程，根据偏微分方程中的p-m编写的。(failed to translate)

单用户MIMO以及多用户MIMO的检测程序,包括最大似然检测,最小均方误差检测等的matlab实现，以及MIMO_OFDM主要程序(Single-user MIMO and multi-user MIMO testing procedures, including maximum likelihood detection, minimum mean square error detection matlab realize and the main program of MIMO_OFDM)

基于反高斯正态分布的模型参数估计matlab(Matlab anti-Gaussian distribution is estimated model parameters based on)

在MATLAB中绘制横向ERRORBAR，用于误差统计分析(In MATLAB, draw horizontal ERRORBAR, for the error of statistical analysis)

prima algoritm net acvtive source code , equation

将整个空间进行划分，变成无数的小空间，其中小空间的长度可变。(The entire space is divided into numerous small space, wherein the variable length of the small space.)

说明：  本程序实现了短数据序列不同窗函数的welch功率谱估计，然后又求了他们的平均标准差，从而判断各个窗函数的优劣。只要稍作修改就能实现不同信噪比下的功率估计，同时也可以实现长数据序列的估计。(This procedure has a short data series of different welch window function power spectrum estimation, and then seek their average standard deviation, and thus to determine the merits and demerits of each window function. As long as we can with some slight modifications under different signal to noise ratio power estimate, but also the realization of a long data sequence can be estimated.)

说明：  本例是一个采用matlab的GUI生成程序(This example is a GUI generated by the program matlab)

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

mimo-ofdf的关键技术研究和仿真平台的建立(mimo-ofdf, key technologies and simulation platform)