montecarlo

《visual c++matlab图像处理与识别实用案例精选》源码(" Visual c++ matlab image processing and recognition of practical cases selected" source)

一个关于线程池的小demo，windows环境下，可以直接运行。( A little on the thread pool demo, windows environment, can be directly run.)

说明：  本書完整的說明與充分的網路支援，可以使讀者能充分地掌握MATLAB的脈動，擁有解決工程問題的最佳利器,21-29章(A complete description of the book and the full network support, will enable readers to fully grasp the pulse of MATLAB, has to solve engineering problems in the best weapon ,21-29 s)

整个QC-LDPC编解码过程,，包含CCSDS标准的准循环矩阵(about all processing of QC-LDPC)

三角形网格的划分，生成均匀网格，在delauney的基础上发展，实现区域网格的三角形剖分(Triangular mesh generation, uniform mesh generation, on the basis of delauney development, triangulation of regional mesh)

simulink框图来实现多进制PAM调制(simulink block diagram to realize the M-ary PAM modulation)

说明：  CT重建算法，迭代算法ARTII，乘型ART算法，该算法法比初始值选择不能为0(CT reconstruction algorithm, iterative algorithm ARTII, x-ART algorithm, The algorithm method than the initial value of options can not be 0)

　计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。(Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.)

自己做的采用60度坐标系的三电平SVPWM模块 用的是matlab2009b (60-degree three-level SVPWM module Matlab2009b)

利用matlab实现标记算法，本人已运行，好用(Marking algorithm using matlab, I have to run, easy to use)