Preprocess

运动模糊图像的复原，采用倒谱法估计模糊尺度，编写代码，适合初学者学习与理解。含图，可运行测试(Restoration of motion blurred images using fuzzy scale cepstrum estimation, writing code, suitable for beginners to learn and understand. Including maps, can run the test)

以一个简单的例子对于极值求解的应用进行了分析和介绍(With a simple example of solving for the application of extreme value analysis and presentation of)

This function (trainClassifierExample.m) is a tutorial/example on how to create a user-defined vision.CascadeObjectDetector detector. This function uses an attached webcam to take video of a user and builds a detector on their face. From this example hopefully it is clear how to generate detectors for any general object class. Faces are used in this example since the labeling can be done autonomously using a pre-trained face detector

400Hz，单相并联逆变器，重复，双环复合控制,simulink仿真模型(400Hz, single-phase inverters in parallel, repeat, bicyclic compound control)

the first tp of the approximation of the functions problem

jaringan saraf tiruan

说明：  spwm，光电并伏，PI控制光伏并网系统仿真模型(Simulation model of photovoltaic grid connected system controlled by SPWM and photovoltaic PI)

说明：  按照给定指标采用模拟巴特沃斯低通滤波器去逼近理想模拟低通滤波器 ，然后通过双线性变换法对模拟滤波器进行数字化，得到数字滤波器 (Indicators in accordance with a given analog Butterworth low-pass filter to approximate the ideal analog low-pass filter, and then through the bilinear transformation method of digitizing analog filters, digital filters have been)

Ritz法解决-u +u=x 0<x<1，u(0)=0,u(1)=0的有限元边值问题。精确解为u(x)=1/(exp(1)-1/exp(1))*exp(-x)+1/(1/exp(1)-exp(1))*exp(x)+x，基函数为g(i)=sin(i*pi*x)(This matlab code is used to solve the boundary value problem of the differential equation: -u +u=x 0<x<1，u(0)=0,u(1)=0, where the accurate solution is : u(x)=1/(exp(1)-1/exp(1))*exp(-x)+1/(1/exp(1)-exp(1))*exp(x)+x)

diferentes graficas construidas para mostrar caminos