Matlab-C

单频率成分的离散频谱校正源程序（能量重心校正法）。针对单一频率谐波信号的离散频谱校正，可选择加矩形窗和汉宁窗。已调试通过。(Matlab Codes for Ratio correction based on different window.Rectangle and Hanning Window can be choose to act.)

matrix rotation (matlab code)

c++实现UPnP设备发现功能，对初学者非常有用，走出第一步。实现设备发现后，控制功能的原理比较简单，工作量不大。(UPnP device discovery via c++， useful with beginners.it s the first step. After discovery,control is easy and simple.)

粗糙集理论改进的RBF神经网络，适用性比较强，对RBF的优化有一定的作用(Rough set theory improved RBF neural network, strong applicability of optimization RBF has a certain role)

成功实现计算jsdkew算法的程序，本人测试已经通过，性能已基本达到jsdkew算法的性能，需要MATLAB 2009b环境运行，如有问题，欢迎讨论 (The successful implementation of the program to calculate jsdkew algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me )

数学建模算法，回归分析，灰色理论，多元分析，支持向量机(Mathematical modeling algorithm)

用matlab所编写的30个小程序，能对刚学习matlab的同学有所帮助(Prepared with 30 small matlab program can just help students learn matlab)

基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性. (Face recognition based on singular value decomposition method Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La)

一个matlab写的人脸识别源代码，比较好用，代码也比较规范(Write a matlab source code for face recognition, more easy to use, fairly standard code)

用matlab制作的一个有趣程序，内容为打气筒打气球的动画演示。(Using matlab produced an interesting program, says playing balloon pump animation.)