xiaobofenxi

UWB，超宽带信号分析必用的子函数，第6部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part 6!)

阶跃响应模拟 对阶跃响应的控制，模拟以及测量(Step response simulation of step response of the control, simulation and measurement)

solar pv mppt system

Nonparametric belief propagation implementation

基于Lucy-Richardson方法的图像复原小程序，用matlab语言实现。(Lucy-Richardson method-based image recovery applet using Matlab language.)

gist算子的matlab编程。本人自己编写(The gist Operators matlab programming. I have written)

matlab讲义 多的不说了，开放源代码！就是开放！(matlab handouts do not say more, open source! Is open!)

用卡尔曼滤波算法估计一个四阶线性预测模型的最优权值，并附有仿真图形(Kalman filter algorithm to estimate the optimum weights of a fourth-order linear prediction model with simulation graphics)

基于一阶AR模型u(n)=0.99u(n-1)+v(n),白噪声方差0.93627.步长0.05.分别使用M=2和M=3抽头的滤波器，用LMS算法实现u(n)的线性预测估计。并附仿真图已被参考。(Based on a first-order AR model u (n) = 0.99u (n-1) the+v (n), the white noise variance 0.93627 step 0.05. Respectively with M = 2 and M = 3-tap filter, with the LMS algorithm u (n) of the linear prediction estimates. Along with simulation diagram reference.)

Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab