gaussplot

Codigos convolucionales Turbo

神经网络处理污垢数据的matlab程序的lavbview实现(The interface of fouling thermal resistance LabVIEW)

说明：  matlab的应用，我搜集来的，对学matlab挺有用的。(matlab application, I come to collect, to learn matlab Tingyou use.)

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)

edge detection using direction and vector operators

matlaB时频分析工具箱，对数据进行时频分析(time-frequency analysis toolbox matlaB, time-frequency analysis of the data)

k-means算法对irisdata数据集进行聚类(The k-means algorithm clustering the irisdata datasets)

条件概率搜索算法，简单，有效，经调试可用！(Conditional probability search algorithm, simple, effective, can be used by debugging!)

核主元分析模型，用于故障检测，输入建模数据和待检测数据，计算T2和SPE统计量(Kernel Principal Component Analysis model for fault detection, input data for modeling and data to be detected, calculated T2 and SPE statistics)

MATLAB6_0基础及应用 _ 清源计算机工作室编著_ - [出版地不详]_ 机构_0(the basic knowledge of matlab6.0)