qeigiu

　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.)

Matlab实现模糊控制与传统PI控制比较后证明模糊控制修正优于PI控制( Input X: 3 membership functions, Y: 3 membership functions Output U: 5 membership functions)(Matlab fuzzy control with conventional PI control proved that the fuzzy control correction is superior to PI control (Input X: 3 membership functions, Y: 3 membership functions Output U: 5 membership functions))

基于cordic算法的nco仿真完整matlab程序(nco cordic algorithm simulation)

matlab数学手册，介绍matlab常用的数学公式(mathematics matlab manual introduction matlab mathematical formula commonly used)

一个简单的卡尔曼滤波例子，供初学者参考。( a simple example of Kalman filter reference for beginners.)

含有未知参数的二阶系统的自校正PID控制(Self-correcting second-order system with unknown parameters PID control)

viterbi译码的快速实现算法，非常适合初学者迅速上手(Fast viterbi decoding algorithm is very suitable for beginners to get started quickly)

利用RGB-IHS变换实现高分辨率图像和低分辨率图像的融合。(The use of RGB-IHS transformation to achieve high-resolution images and the integration of low-resolution images。)

Jakes Model 用matlab 模擬並且畫圖(Jakes Model simulation using matlab and Paint)

高斯信道下的16QAM误码率分析的MATLAB仿真(Gaussian channel bit error rate of 16QAM under the MATLAB simulation)