POLAR

心电信号预处理 滤波 去噪 QRs波检测 P波，T波检测(Preprocessing of ECG wave detection filter denoising QRs P wave, T wave detection)

插补函数GUI，对大家很有用的，就是一个GGUI 和一个(Mtalab GUI)

AC motor, dq transformation,

MatLab图形绘制功能口令及代码，很不错，值得看看(MatLab graphics rendering capabilities password and code, very good, worth a look)

Contrast is the difference in luminance or color that makes an object (or its representation in an image or display) distinguishable. In visual perception of the real world, contrast is determined by the difference in the color and brightness of the object and other objects within the same field of view. Because the human visual system is more sensitive to contrast than absolute luminance, we can perceive the world similarly regardless of the huge changes in illumination over the day or place to place. The maximum contrast of an image is the contrast ratio or dynamic range

顺序表（即向量类），包含创建，插入，删除，查找等功能。(The order of the table (ie vector class), including creation, insert, delete, search and other functions.)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

这是一个恒模算法和变长恒模算法收敛性比较的程序.(This is a constant modulus algorithm and variable-length constant modulus algorithm to compare the convergence process.)

CACAL Calibration routine for computing the camera parameters. The initial values are solved by using the DLT method and the final parameter values are obtained iteratively

compressed sensing algorithm