mseq

match two images and extract features.

PN码同步仿真输入 PN码同步仿真模块 PN码同步仿真输出(PN code synchronization simulation input PN code synchronization simulation module simulation output PN code synchronization)

在双 馈 式 发电 机简 化 等 值电 路 的基 础 上 建 立了 风 电 场 的 确 定 性 潮 流 模 型， 建 立 了 风 力 发电 机 的 随 机 分 析 模 型， 并 在 这 二 者 的 基 础 上 运 用 基 于 半 不 变量法的随 机潮流 进行计算(On the basis of double-fed generators simplified equivalent circuit on the establishment of a deterministic trend model for wind farms, the establishment of a stochastic model of the wind turbine, and based on the use of stochastic trend in semi-invariant law on the basis of both calculation)

电力系统潮流分析仿真程序，使用power worldsimulator 软件，可以直接查看潮流运行结果，手动操作的变化等情况，非常适合初学者！实例大部分是基于IEEE标准算例仿真，还有些是专门针对电力系统故障仿真。(Power world simulator demos for beginners, which is easy to learn and easy to oprate,very useful and powerful software.these are the test cases, most of are made IEEE standard cases.)

说明：  基波和三次谐波检测的Matlab径向基神经网络程序，自己写的(The Matlab radial basis neural network program for fundamental and third harmonic detection, written by myself)

敝人最近整理的关于MatLab中的遗传算法工具箱Gads的资料，不敢独享，希望能起到一定的帮助作用(myself recently finishing on the MatLab genetic algorithm toolbox Gads information, not exclusive, hope to play a helpful role)

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)

遗传算法,蚁群算法，实现最短路径问题 (GENETIC )

建立了神经网络迟滞模型，由于该模型是基于EHM 的混合神经网络模型，因此简记 为HNNM 模型。(ANN)

先进pid控制的matlab仿真程序，全书共分11章，包括连续和离散系统的pid控制，常用数字pid控制，等等，内容全面丰富，适合从事生产过程自动化，计算机应用的工程技术人员和研究生阅读。(Advanced pid control matlab simulation program, the book is divided into 11 chapters, including continuous and discrete-time systems pid control, commonly used digital pid control, and so on, comprehensive and rich, suitable for the production process automation, computer application of engineering and technical staff and graduate students to read .)