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基于LMS和RLS的自适应滤波仿真与分析,内含详细说明(Based on LMS and RLS adaptive filtering simulation and analysis, containing detailed description of)

PERT Schedule Calculation Method MATLAB CODE

matlab遗传算法多目标优化，双目标函数优化(matlab genetic algorithm for multi-objective optimization, dual-objective optimization)

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)

为实现通信的终极目标五个W：任何人（whoever）在任何时间（whenever）任何地点(wherever)与任何他人(whomever)进行任何类型(whatever)的信息交换，则至少通信网的最后一段必须是移动通信系统。由此可见移动通信在现在及未来通信中的重要地位。(communications to achieve the ultimate goal of 5 W : Any person (whoever) at any time (whenever) any location (wherever ) and any other person (whomever) for any type (whatever) the exchange of information, communications network at least the last paragraph must be mobile communication systems. So mobile communications in the current and future communications to the important position.)

经典leach ，仿真成功，是学习matlab仿真的最有效的代码(The classical leach, the simulation is successful, is to learn matlab simulation is the most effective code)

高斯信道下二进制相移键控信号仿真MATLAB源程序(Gaussian channel binary phase shift keying signal simulation MATLAB source)

SOM-BASED METHODS FOR NOVELTY DETECTION Global Normality Profile Approach (GNP) Local Normality Profile Approach (LNP) First Global Then Local Normality Profiles Approach (FGTL)

jpeg的matlab代码 (jpeg of the matlab code)

Fuzzy Mutual information which is used to calculate the mutual information between two variables.