7TOEEJ

函数逼近教学例子,可以选择不同训练算法。(Function approximation teaching example, you can choose different training algorithms.)

fdtd模拟TM波的传播,运用matlab模拟TM波的传播，用MATLAB实现(fdtd tm matlab)

Bimodal emotion recognition

说明：  闭环控制系统输入信号为阶跃信号，受控对象的传递函数为3 2 1 ( ) 2 5 s G s S s s      。(Closed loop control system for the step input signal, the transfer function of the controlled object 3 2 1 () 2 5 s G s S ss      .)

说明：  实现多目标粒子群优化功能，重点是进化因子的选取。(Multi objective particle swarm optimization, with emphasis on evolutionary selection factor.)

说明：  MATLAB扩展编程+何强编着+PDF电子书 非常金典(He Qiang MATLAB Extended Programming+ ed+ PDF eBook)

exercise 4.11 of the book "informatioin theory,inference,and learning algorithm"

The aim of this application is to implement scalable mpeg type compression by varying DCT coefficients and finding minimum number of DCT coefficients that can give minimum acceptable quality.. This application only works for gray scale.

matlab编写的white noise的fft变换(matlab prepared fft transform of white noise)

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)