GP_correlation_dimension

采用串接法产生互补码，子码长度为64，可以调节。(Produce complementary code)

实现各种PID控制算法，包括传统PID，模糊PID以及计算动词PID控制器的源码(PID controller, fuzzy pid controller , computational verb pid controller)

matlab中实现时间序列自相关降噪，经过测试可以使用 希望可以有用(Time series autocorrelation noise, can be tested using)

模拟退火粒子群算法，简单实用，非常好的程序(Simulated annealing particle swarm algorithm, simple, practical, very good program)

说明：  在VC++中调用Matlab引擎的两个例子(In VC++ calling Matlab engines in the two examples)

　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.)

lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*randn(1,N)]

刘金凯智能控制第二版仿真程序刘金凯智能控制第二版仿真程序(Liu Jinkai Intelligent Control Second Edition emulators Liujin Kai Intelligent Control Second Edition Emulator)

PCA分类，用于较好的去噪降维，matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(PCA classification for better denoising dimensionality reduction, a variety of adaptive matlab simulation analysis. . Adaptive information processing algorithms, programs many, their essence can be summarized as follows the minimum mean square error (Least Mean Square, LMS) and the least squares criterion)

鼠标游戏仿真，可模拟鼠标在图像上游走的轨迹，对MATLAB代码进行示例。(Mouse game simulation, can simulate the mouse on the image migration trajectory of MATLAB code examples.)