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用matlab软件开发的多个关于梁的例程(Matlab software development with a number of routines on the beam)

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)

说明：  实现数字水印的嵌入，提取，以及受攻击后的提取(The realization of digital watermark embedding, extraction, and the extraction after attack)

通过MATLAB工具箱对pcm的13折线法量化编码译码过程仿真(MATLAB toolbox pcm by 13 line coding and decoding process simulation method to quantify)

求正弦信号fft，并利用该fft计算正弦信号的功率，信噪比等(Seeking sinusoidal signal fft, fft calculated using the sinusoidal signal power, SNR, etc.)

signal to noise ratio in different formats

Compute log(sum(exp(x),dim)) while avoiding numerical underflow. By default dim = 1 (columns).

使用边缘检测的方法，找到关键部分，达到分割图像的效果(Edge detection method to find the key part to the effect of image segmentation)

维纳滤波算法，提高信噪比和可读性，适用于平稳高斯噪声环境(Wiener filtering algorithm to improve the signal-to-noise ratio and readability, applicable to stationary Gaussian noise environment)

说明：  matlab 实现一维Ｓ变换 逆变换，S变换由加拿大地球物理专家Stockewell 首先提出具有独特的优点(matlab realize one-dimensional inverse transform S transform, S transform geophysical experts from Canada Stockewell first has a unique advantage of)