codes

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)

Quadrature filters point detector in scale-space

模糊控制仿真模型,采用MATLAB进行模糊控制系统仿真(FUZZY CONTROL SIMULINK)

说明：  vhdl 初学例程，对于初学者有很大的参考价值哦(VHDL beginner routines for beginners have great reference value oh)

采用完全离散法绘制切削加工过程中的颤振稳定性叶瓣图(The full discrete method is used to map the stability of the leaf flap)

基于Matlab的红外图像的轮廓特征提取 基于Matlab的红外图像的轮廓特征提取 (Matlab-based infrared images of the contour feature extraction Matlab-based infrared images of the contour feature extraction)

又提供一基于生理的情感神经网络，包含杏仁体，丘脑，视觉神经等重要元素，可用于分类与预测，性能优越于SVM，BP(The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior performance to SVM)

此程序是计算电力系统潮流的通解，通过支路法不断更新参数(This procedure is the general solution of the power flow calculation, continuously updated through the branch method parameters)

it may be worth to see here is a matlab example code

实验一：三次样条插值（P56，例6） 一、实验目的： 1) 掌握三次样条插值的运用 2) 了解拉格朗日插值在高次上的误差 二、实验环境：Matlab6.5 三、实验内容： 1) 给定函数f(x)=1/(1+x2)，-5<=x<=5，节点xk=-5+k，(k=0,1,2…10)，用三次样条插值求S10(x)，S10’(-5)=f’(-5)，S10’(5)=f’(5)。 2）作原函数f(x)，拉格朗日插值函数Ln(x)，三次样条差值函数Sn(x)。画出三个函数的图像，比较它们的区别。 (Experiment I: cubic spline interpolation (P56, cases of 6) First, the experiment was: 1) cubic spline interpolation to master the use of 2) understanding of Lagrange interpolation in high-error second, experimental environment: Matlab6 .5 c, experimental elements: 1) a given function f (x) = 1/(1+ x2),-5 <= x <= 5, node xk =- 5+ k, (k = 0,1,2 ... 10), using cubic spline interpolation for S10 (x), S10 (-5) = f (-5), S10 (5) = f (5). 2) for the original function f (x), the Lagrange interpolation function Ln (x), cubic spline difference function Sn (x). Draw the three functions of images, compare the difference between them.)