MIMO-channel-matlab

BRDF model,BRDF model,BRDF model,BRDF model,BRDF model,BRDF model

erpPCA可用于特征提取，是对pca的优化(erpPCA can be used for feature extraction, is to optimize the pca)

costas环的matlab实现，该实现能够完成相位锁定，频率估计等动能(costas loop matlab implementation that can complete phase-locked, frequency estimation of the kinetic energy)

在opnet软件平台上对无线通信进行了建模仿真，对于学习opnet的无线管道建模有很大的参考价值(Opnet software platform in the wireless communications on the modeling and simulation, learning opnet modeling of wireless channels has great reference value)

BER Performance of Variable Width Sinc PAM with a Simple Receiver in AWGN

模糊PID—模糊控制程序。适合刚入门的模糊控制学习的同学们，方便理解！(Fuzzy PID-fuzzy control procedures. Fuzzy Control for just getting started learning of the students, to facilitate understanding!)

对于数字图像处理技术中，图像的编码分为RGB和HIS，这个资料讲述了在matlab中如何将两种编码转换，在实际应用中非常广泛！(For digital image processing technology, image coding is divided into RGB and HIS, this information describes how the two kinds in the matlab code conversion, in a wide range of practical applications!)

水平竖直线交点就是输入些水平线段和竖直线段的坐标（文件输入） 然后输出几个交点(The level of vertical lines is the intersection of some level of input the coordinates of line segments and vertical segments (file type) and then the output of several intersection)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

Support Vector Machine matlab code