qsyn10

说明：  混沌时间序列预测程序,包括多步预测函数及多步预报的主程序。(Chaotic time series prediction procedures, including multi-step prediction function and multi-step prediction of the main program.)

用于人脸检测的程序：GaborandBP。 可成功运行。(Procedure for face detection: GaborandBP. Can be run successfully.)

处理fmri图像的软件工具，具有分脑区显示激活点、据要求实现感兴趣区等诸多功能，详细参见使用说明(Fmri image processing software tools, with sub-brain regions showed activation point, it was required to achieve ROI, and many other features, see the detailed instructions)

说明：  智能天线方向图——波束形成最小均方(LMS)算法(Smart antenna pattern- beam forming least mean square (LMS) algorithm)

Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing

OFDM仿真的一个好资料，涉及DVB的发射标准仿真，以及几个开放的接收方法仿真！(OFDM simulation using matlab)

基于Matlab直线法分析同轴线电磁场分布(Matlab Analysis of the straight-line method based on electromagnetic field distribution of coaxial line)

MATLAB CODE FOR ARTIFICIAL NEURAL NETWORK

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)

伺服系统非线性Lugre摩擦力模型仿真 matlab(servo system Lugre friction model nonlinear simulation Matlab)