huffman

For an AR(p) model that has been fitted with ARFIT, [Aerr,werr]=ARCONF(A,C,w,th) computes the margins of error Aerr and werr such that (A +/- Aerr) and (w +/- werr) are approximate 95 confidence intervals for the elements of the coefficient matrix A and for the components of the intercept vector w. The input arguments of ARCONF are output of AR.

object removal在图像处理中的意思是用户可以随意擦去图像中的一个物体，算法可以自动的用背景中的信息补去空洞，达到看不出来是处理过的效果，又叫inpainting，该程序由matlab写成，效果非常好，文档、演示、测试图像均齐全(object removal in image processing means that users can remove images of an object, the algorithm can automatically use the background information to fill empty, reaching out is not to look over the effectiveness of treatment, also known as inpainting, the program by matlab languages, has very good results, documents, presentations, test images have complete)

说明：  用MATLAB编写的小程序，关于神经网络的，比较简单(MATLAB prepared by the small program on neural networks, relatively simple)

边界元算法求解正方形导热问题实例。一个简单的二维导热模型，用BEM算法求解，用于学习边界元编程。(Boundary element method for solving square conduction problem instances. A simple two-dimensional heat conduction model, using BEM algorithm for learning boundary element programming.)

说明：  基于matlab的私家电动汽车日负荷曲线例程可，可在此基础上更改相关数据。(Based on the matlab routines can be private electric cars daily load curve, can be modified on the basis of the data.)

Reed-Solomon信道编解码代码，解决底层通信问题(Reed-Solomon code and encode)

小波包分析提取振动信号中的特征频率，仿真效率很高的，采用累计贡献率的方法。( Wavelet packet analysis to extract vibration signal characteristic frequency, High simulation efficiency, The method of cumulative contribution rat.)

Calculate CINR in physical layer in MATLAB. clc clear all close all N = 1 R = 10 D = sqrt(3*N)*R angleValue = [pi/6 (3*pi)/6 (5*pi)/6 (7*pi)/6 (9*pi)/6 (11*pi)/6] c = 3*10^8 carrierFreq = 900*10^6 lambda = c/carrierFreq baseHeight = 30 mobileHeight = 2 pathLossExponent = 3 shadowingValue = 0 transmitPower = 10

HOG特征提取在进行SVM行人检测，经典算法(HOG feature extraction in SVM pedestrian detection, classical algorithm)

说明：  计算复杂网络的度及其分布，改变矩阵即可得到复杂网络的相关指标。(Calculating the degree and distribution of complex networks)