TwoDPCA

Matlab与VC的接口设计。本文档详细介绍了如何在matlab环境下导出VC中支持的源代码。(Matlab and VC in the interface design. This document details how to export a VC in the matlab environment to support the source code.)

说明：  使用matlab处理数理统计中的区间估计的问题(Processing using matlab mathematical statistics in the problem of interval estimation)

方差分析法 应用统计学家Fisher在20世纪20年代最先提出了可同时比较多个正态总体均值是否相等的方差分析法。 本文通过几个案例来讲解方法分析法的应用(Analysis of variance application statistician Fisher first proposed in the 1920s, can simultaneously compare multiple normal population mean is equal to the analysis of variance. In this paper, several cases to explain the application of the method of analysis)

udp connection between sender and receiver in matlab

中值滤波窗口大小影响滤波器性能,3×3滤波窗口可以很好地保持图像细节。提出一种新的自适应中值滤波方法。将3×3窗口中心的极值点作为候选噪声点,若候选噪声点仍然是7×7窗口的极值点,则该点即是噪声点。若以噪声点为中心的3×3滤波窗口的中值不是噪声,则噪声用中值替换。重复以上过程,直到没有噪声点被替换。(Median filter window size affect the filter performance, 33 filter window can be well preserving image detail. Propose a new adaptive median filtering method. The 33 extreme point of the center of the window as the candidate noise the candidate noise is still 77 extreme points of the window, the point is that the noise point. Terms of noise centered on the point 33 filtering window value is not a noise, the noise is replaced with the median. The process is repeated until there is no noise point is replaced.)

基于OTSU的图像二值化分割，本程序是从视频中截取某一帧来实现(OTSU-based binary image segmentation, this program is a frame from the video to achieve the interception)

说明：  Matlab在通信仿真中的应用，课件，例题，练习(Matlab simulation applications in communications, courseware, examples, exercises)

用自适应的方法对传统DNA算法的几个操作概率进行动态赋值，从而达到改进的效果(Dynamic assignment of several operating probability of traditional DNA algorithm using an adaptive method to achieve improved results)

用matlab写的模式识别中C均值分类算法，数据被分成2类，经验证正确(Pattern recognition with matlab written in C-means classification algorithm, the data is divided into two categories, proven correct)

matlab代码用于提取图像的特征点，代码很短，开发环境在matlab2012b以上版本(matlab code for extracting feature points of the image, the code is very short, the development environment in matlab2012b above)