SaS_Aprox

物体旋转平移和插值运动，注释是西班牙语 初始参数为坐标和随机的旋转矩阵(Object rotation and translational motion interpolation, the comment is Spanish and random initial parameters for the coordinates of the rotation matrix)

harris角点检测的matlab源码，毕业设计用的，保证好使(harris corner detection matlab source, graduating ensure so that)

双馈风力发电最大功率追踪控制仿真模型，能够实现自动追踪功能(Double fed wind power maximum power tracking control simulation model, can realize the automatic tracking function)

说明：  刺激反应跟驰模型matlab数值仿真及绘图代码(Matlab numerical simulation and drawing code of stimulus response following model)

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.)

Calculating Fir filters in Matlab.

多个关于有源电力滤波器的仿真例子，所有例子都有调试完毕，对学习APF有帮助(A plurality of active power filter on simulation example, all the examples have debugging, learning APF helpful)

MATLAB揭秘，从这里能够更好地了解MATLAB的功能以及相应地代码和效果图(MATLAB jiemi)

在使用MATLAB进行图像处理时，对图像中目标区域进行框定，即在目标图像上可以对所需区域画框(image processing using matlab)

模式分类英文版，非常好的machine learning课本(pattern classification， very useful for machine learning.)