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说明：  MATLAB常用的函数说明，对于初学者很有用(MATLAB)

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)

贝叶斯网络教案中的洒水车源代码，含抽样代码。(Bayesian model case study in the sprinkler)

仿真比较4-QAM和4-FSK调制信号在RAYLEIGH衰落信道下的误符号率和误比特率性能(4-QAM and 4-FSK modulation signal simulation comparison in Rayleigh fading channel under the symbol error rate and bit error rate performance)

说明：  集合经验模态分解算法和基于负熵最大的Fast ICA算法对心磁信号的去噪处理(Ensemble empirical mode decomposition algorithm and Fast ICA algorithm based on maximum negative entropy for denoising processing of magnetic heart signals)

详细介绍了MATLAB与VC混合编程的几种方法，并给出了十分详细的配置步骤和安装方法，亲测可用。(Details of the several methods of MATLAB and VC mixed programming, and gives a very detailed configuration steps and installation methods, pro-test available.)

GM(1,N) 灰度预测 n个变量 源码(GM (1, N) gray prediction n variables source)

DMC算法的实现和参数对其响应的影响程序加分析。(DMC algorithm implementation and the impact of process parameters on its response to any analysis.)

SRM angle generation

conventional simulink statcom