mimo_capacity_vs_snr_waterfiling

8-bit pipelined adc matlab model

IIR Filter Implemented in Matlab

matlab入门经典教程--百看不厌，详细讲解matlab入门的基本知识(Introduction to Classical matlab tutorial- never get tired)

自适应滤波的块型最小均方差算法（B-LMS）,能够快速跟踪过程的变化(Block adaptive filtering algorithm based on LMS (B-LMS), to fast track the process of change)

说明：  非常好的数学建模资料，有matlab实现，数学建模与数学实验（第3版）课件+matlab(Mathematical modeling of very good information, there is matlab implementation, mathematical modeling and mathematical experiment (3rd Edition) courseware+ matlab)

Audio Processing Matlab File

如下亮度变换功能的函数：负片变换、对数变换、gamma变换、和对比度拉伸变换。(Brightness as a function of conversion functions: negative transformation, logarithmic transformation, gamma conversion, and contrast stretching transformation.)

这是递归神经网络的源代码，用到了回声状态机这种算法，是在作者网站上下载的，希望对你们有帮助(This is a recurrent neural network source code, use the echo state machine algorithm, is the author downloaded the website, we want to help you)

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)

mathwork公司培训时老师送的用simulink开发的混合动力汽车模型，很好很强大。(mathwork corporate training with the teacher sent simulink developed hybrid car model, very very powerful.)