遗传算法加BP神经网络

对一幅图象进行无损一阶预测编码，采用前值预测(Non-destructive image of a first-order predictive coding, using the former value of the forecast)

支持向量机(SVM)实现的分类算法源码[matlab] (Support Vector Machine (SVM), a classification algorithm source code [Matlab])

说明：  基于MATLAB编程的专家控制PID源程序(Expert PID control based on MATLAB source code)

mimo for zero forcing equalizer

设r是f(x) = 0的根，选取x0作为r初始近似值，过点（x0,f(x0)）做曲线y = f(x)的切线L，L的方程为y = f(x0)+f (x0)(x-x0)，求出L与x轴交点的横坐标 x1 = x0-f(x0)/f (x0)，称x1为r的一次近似值。过点（x1,f(x1)）做曲线y = f(x)的切线，并求该切线与x轴交点的横坐标 x2 = x1-f(x1)/f (x1)，称x2为r的二次近似值。重复以上过程，得r的近似值序列，其中x(n+1)=x(n)－f(x(n))/f (x(n))，称为r的n+1次近似值(Let r is f (x) = 0 root, select the initial approximation x0 as the r, over point (x0, f (x0)) to do the curve y = f (x) the tangent L, L the equation y = f ( x0)+ f ' (x0) (x-x0), find the intersection of L and the x-axis of abscissa x1 = x0-f (x0)/f' (x0), x1 is called an approximation r. Through points (x1, f (x1)) to do the curve y = f (x) the tangent, and find the intersection of the tangent with the x-axis of abscissa x2 = x1-f (x1)/f ' (x1), x2 is called r the second approximation. Repeat the process, get an approximation of the sequence r, where x (n+1) = x (n)-f (x (n))/f ' (x (n)), as an approximation of r n+1 times)

使用matlab来实现　　基本操作编程，使用他的经典操　作来达到　　应用事例(use Matlab to achieve the basic operation of programming, He used the operation to achieve the classic examples of applications)

基于Logstic回归分析，建立人口预测模型，对人口数量进行预测(Based Logstic regression analysis, population forecasting model to predict population)

现代信号处理中功率谱估计理论中改进的协方差算法。程序直观明了。(the algorithm in modern signal processing.)

A four-wheel Vehicle model by Matlab Simulink

说明：  KVSD字典训练的MATLAB程序，OMP算法(KVSD dictionary MATLAB training program, OMP algorithm)