BlindSeparation

数字水印毕业论文好材料,希望对大家毕业设计有所作用(Good material digital watermark Thesis)

by Usman Haider This blockreceives serial data from an instrument or processor and decode it to apply on a plant model. You can see how serial receive block works and other blocks like ASCII Decode and Data type conversion . After receiving the data and decoding, it is applied to the plant model (transfer function of the plant). You can see the realtime plant response on oscilloscope block. Out put of various stages is recorded in workspace which can be examined after the simulation. The reader can learn interfacing hardware to the simulink by going through settings of serial configuration block and serial receive block. God knows the best.

说明：  Matlab优化工具箱是最优化里的一个重要部分，最优化里MATLAB编程都要用到(Matlab optimization toolbox is optimized in an important part of the optimization to be used in MATLAB programming)

数字高程模型（DEM)移动插值算法，计算单个点(Digital elevation model (DEM) mobile interpolation algorithm to calculate a single point)

数字图像相关方法，能够处理图像的变形情况，进而得到图像的应变和切应变(Digital image correlation method, it is possible to deal with the deformation of the image, and then get the strain and shearing strain of the image)

基于matlab的dmc算法改进，m文件编写，计算更加简略，有助于新手学习。(Based on the improved algorithm matlab dmc, m document preparation.)

用Matlab实现的简单的二维主成分分析算法，最后以点阵图输出结果(Using Matlab realize a simple two-dimensional principal component analysis algorithm, the final output to bitmap)

说明：  一本关于wimax经典外文书籍。适合于从事wiamx学习和研究的工程技术人员。(Wimax classic book on foreign books. Wiamx for study and research in engineering and technical personnel.)

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)

本书系统地介绍MATLAB 7.0的混合编程方法和技巧。本书既适合初学者自学，也适用于高级MATLAB用户，可作为高等数学、计算机、电子工程、数值分析、信息工程等课程的教学参考书，也可供上述领域的科研工作者参考。(This book systematically introduces MATLAB 7.0 mix of programming methods and techniques. This book not only suitable for beginners self-learning, also applies to high-level MATLAB users, can be used as advanced mathematics, computer, electronic engineering, numerical analysis, information engineering curriculum reference books are also available in these areas of research workers.)