matlab

adaptive median filter

MATLAB教程.CHM2.9M.chm(MATLAB Tutorial. CHM2.9M.chm)

this code for add training sequence in OFDM system

说明：  通过修改inp文件，用于对abaqus的模型进行自动创建裂纹的程序(by modifying inp. file, used for create a crack in abaqus model)

支持向量机，实现2或多分类，基于matlab仿真，内有说明(ex6.m- Octave script for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM prediction function plotData.m- Plot 2D data visualizeBoundaryLinear.m- Plot linear boundary visualizeBoundary.m- Plot non-linear boundary linearKernel.m- Linear kernel for SVM [?] gaussianKernel.m- Gaussian kernel for SVM [?] dataset3Params.m- Parameters to use for Dataset 3 ex6 spam.m- Octave script for the second half of the exercise spamTrain.mat- Spam training set 1 spamTest.mat- Spam test set emailSample1.txt- Sample email 1 emailSample2.txt- Sample email 2 spamSample1.txt- Sample spam 1 spamSample2.txt- Sample spam 2 vocab.txt- Vocabulary list getVocabList.m- Load vocabulary list porterStemmer.m- Stemming function readFile.m- Reads a le into a character string submit.m- Submission script that sends your solutions to our servers submitWeb.m- Alternative s)

用于产生CRC校验的matlab源码，生成多项式g(x) = x32 + x26 + x23 + x22 + x16 + x12 + x11 + x10 + x8 + x7 + x5 + x4 + x2 + x + 1，按比特输入按字节输出(Matlab code for CRC-16 generation)

说明：  用的逐步定线方法，在解决这个问题中并不是一个很有效的方法，我想最好的方法为Dijkstra，但Dijkstra编起来比较简单（已有源程序，只须改变权矩阵），没有再进行练习。 程序编制的比一些比赛论文中的要精细一些，但结果不是很好。(The progressive alignment method used in solving this problem is not a very effective way, I think the best way to Dijkstra, but it is relatively simple Dijkstra Code (has source code, just change the weight matrix), no further to practice. Programming than some games should be fine in a number of papers, but the results are not very good.)

基于点扩散函数的多聚焦图像融合算法(Point spread function based on multi-focus image fusion)

[数学信号处理及其MATLAB实现].赵红怡.扫描版：本书介绍数字基本理论和matlab实现(This book introduces the basic theory and matlab implementation figures)

Kalman滤波理论详细介绍，包括卡尔曼的各种扩展滤波方法都有详细的说明，适合初学者普及知识与相关知识框架的架构。同时还介绍了其在飞机导航中的应用(Kalman filtering theory in detail, including the extended Kalman filtering methods have a variety of detailed instructions for beginners popularize knowledge and knowledge framework architecture. It also presents its application in aircraft navigation)