Color-Watermarking

一个按自己意愿设计子图和轴外注释的小程序，很具有个性化。(A small program to design figure and explanation of outer axes according to one s own willingness, with personal characteristics.)

对采集来的时间信号实现eemd分解，求得若干个本征模函数分量。(Collected on time signal eemd decomposition, obtained a number of intrinsic mode function components )

MATLAB GUI设计学习手记（第二版）源程序 第6章 本书推荐的学习方法： 1）若您是一个MATLAB初学者，且有充裕的时间来学习GUI设计，您可以从本书的第1章开始循序渐进地学习。 2）若您是一位MATLAB初学者，且时间非常紧迫，建议您先学好第1章，然后依次学习第4章、第5章和第6章，其他章节请根据项目需要有选择性地学习。 3）若您已经掌握了MATLAB的基础语法知识，有一定的MATLAB编程基础，也请浏览一下第1章的内容，尤其是专题分析部分。然后先学习本书第4、5和6章，其他章节请根据项目需要有选择性地学习。 4）若您是一位MATLAB GUI方面的专家或老师，您可以将本书作为一本教学的参考书，本书内容全面、讲解详实、代码精炼，是不可多得的GUI宝典。 (MATLAB GUI design learning Hearts (second edition), the recommended way to learn the source code Chapter 6 of this book: 1) If you are a MATLAB beginners, and there is plenty of time to learn GUI design, you can start from Chapter 1 of the book The step-by-step learning. 2) If you are a MATLAB beginners, and the time is very tight, it is recommended that you first learn to Chapter 1, followed by learning Chapter 4, Chapter 5 and Chapter 6, in other sections based on project needs selective learning . 3) If you have mastered the basic grammar of the MATLAB, the MATLAB Programming Fundamentals, please visit the Chapter 1, in particular thematic analysis section. First learning book chapters 4, 5 and 6, then the other chapters selective learning based on project needs. 4) If you are an expert or teacher of a MATLAB GUI, you can book as a teaching reference books, the book is comprehensive, explain the detailed, refined code, is a rare GUI canon.)

Emplyment Payroll system Coded in C++ working

nonlinear fiber optic

distribution system 33 bus data file

Emission Tomography The fundamentals of PET and SPECT

说明：  duffing混沌系统的分岔分析，含有详细程序(duffing bifurcation analysis of chaotic systems, containing detailed procedures)

多视点几何学中从P中提取出K,R例如P = K*R*[eye(3) -t]以及从两个相机矩阵得到单应矩阵(Multiview geometry extracted from the P K, R such as P = K* R* [eye (3)-t])

模式识别，聚类分析的最大最小距离算法算法Matlab演示(Pattern recognition, cluster analysis algorithm for the maximum minimum distance algorithm Matlab demo)