jade_1

说明：  生物特征识别技术作为一种身份鉴别手段具有独特的优势。在生物特征识别系统中, 采集数据的预处 理是不可或缺的环节。以人脸识别为例, 介绍了一种在复杂背景的彩色图像中, 基于颜色和知识的生物特征预处理 方法。首先利用颜色信息从图像中分割出类肤色区域, 然后运用人脸几何特征和眼睛的提取定位人脸。仿真实验表 明, 该算法能较为准确地定位彩色图像中的正面或小角度偏转的人脸, 具有较快的运算速度。(Biometrics as an identification tool has a unique advantage. In biometric systems, collect data preprocessing is an indispensable link. To face recognition, for example, presents a complex background in color images based on color and knowledge of the biological characteristics of pretreatment. The first to use color information to separate out the classes from the image color region, and then use face extraction of geometrical features and eye positioning face. Simulation results show that the algorithm can be more accurately locate color images in a positive or small-angle deflection of the face, with a faster computational speed.)

GBP1仿真，用于雷达跟踪，包含卡尔曼滤波器(GBP1 simulation)

les procédés de filtrages analogiques

simulation of fuel cell -part3

Create an audiorecorder object for CD

source code using principal component analysis and similirity matching with the ecludien distance this is an approach used for face recognition. this file also contains and test images

一个非常有用的用遗传算法求解tsp的小例子，简洁易懂。(A very useful small example using genetic algorithms to solve tsp, concise and easy to understand.)

matlab下进行可将logo加到照片上(matlab under the logo can be added to the photo)

matlab实现的感知机应用上的实例，对其具体功能的加深认识(matlab implementation of Perceptron application examples to deepen understanding of their specific functions)

利用Matlab求解Lang-Kobayashi方程(The use of Matlab in Lang-Kobayashi equation)