coding-thorem

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.)

改进型的蚁群算法，能够快速求解多目标规划(Improved ant colony algorithm, fast multi-objective planning)

说明：  求解MATLAB中关于特征值特征向量、卫星运行问题、动态玫瑰线、二重积分、函数画图问题的分析程序。(Analytical program for solving eigenvalue eigenvector, satellite operation problem, dynamic rose line, double integral and function drawing problem in MATLAB.)

an tutorial for writing fast matlab code

关于统计学习正则化的阈值算法，对现有的最小二乘问题进行扩展。(On statistical learning is the threshold algorithm is based on the expansion of the existing least squares problems.)

largrangian method largrangian method largrangian methodlargrangian method

本书是久负盛名的C++经典教程引，其内容是C++大师Stanley B. Lippman丰富的实践经验和C++标准委员会原负责人Josée Lajoie对C++标准深入理解的完美结合，已经帮助全球无数程序员学会了C++。(Book is the most famous classic c++ tutorial, its content is c++ master Stanley b. Lippman wealth of practical experience and c++ standards committee of the original charge Josee Lajoie on c++ standard in-depth understanding of the perfect combination, has helped the world many programmers learned c++.)

通过例子讲解模拟退火法的优化原理和方法，浅显易懂！(The global minimum of function can be obtained by the simulated annealing algritm.)

Make a Histogram in MATLAB from data saved to a file

说明：  应用matlab gui开发的信号分析小程序，便于大家学习gui(Matlab gui applications developed by small signal analysis procedures, to facilitate U.S. study gui)