T-f-toolbox-for-MATLAB

这是一个用matlab编写的遥感图像融合算法，是HIS变换和小波变换相结合的。(this is a program about image fusion ,his transform and wavelet transform.)

本书是C++模板编程的完全指南，旨在通过基本概念、常用技巧和应用实例3方面的有用资料，为读者打下C++模板知识的坚实基础。 全书共5个部分，22章。第1章全面介绍了本书的内容结构和相关情况。第1部分（第2~7章）以教程的风格介绍了模板的基本概念，第2部分（第8~13章）阐述了模板的语言细节，第3部分（第14~18章）介绍了C++模板所支持的基本设计技术，第4部分（第19~22章）深入探讨了各种使用模板的普通应用程序。附录部分是一处定义原则和重载解析的相关资料。 本书适合C++模板技术的初学者阅读，也可供有一定编程经验的C++程序员参考。(This book is C++ template programming, The Complete Guide to through the basic concepts, techniques and application examples of three commonly used useful information for readers to C++ templates to lay a solid foundation of knowledge. The book is 5 parts, 22 chapters. Chapter 1 introduces the overall structure and content of the book relevant circumstances. Part 1 (2 ~ 7) tutorial style introduction to the basic concepts of templates, Part 2 (8 ~ 13) describes the details of the template language, Part 3 (14 ~ 18), introduced C++ template support for the basic design techniques, Part 4 (19 ~ 22) in-depth study of various common applications using templates. Appendix is a definition of the principles and relevant information overload resolution. C++ book for beginners to read template technology, but also have some programming experience for C++ programmers reference. )

一所大学的电磁场课件，讲述的非常有调理、清晰，对学电磁场的朋友很有帮助，极力推荐，希望大家多多下载(The electromagnetic field of a university courseware, on the very conditioning, clear, electromagnetic field school friends very helpful, highly recommended, hope that a lot of download)

很有用的Matlab聚类分析算法，很全面，保证可用(Matlab is used for cluster analysis algorithms, a very comprehensive and ensure that available)

it is binary ga algorithm in matlab

vc与matlab联调的例子，生成正弦波形(vc FBI and matlab examples, to generate sine wave-shaped)

matlab code for photometric stereo

TEST FILES IN ORDER TO HAVE RESULTS FOR DIFFERENT TYPES OF PAM

仿真了FM信号产生和调制的过程，方法简单，内容详尽，已经过调试。(Simulation of the FM signal and modulation process, the method is simple, detailed, has been testing.)

MATLAB计算机视觉与深度学习实战-运行视频(As a biological technology, face is difficult to be stolen and infection-free. In addition to that, it enjoys the authentication concealment and is never forgotten. Therefore, authentication based on face recognition will become the mainstream of future development. It has important and extensive application in various fields, and is also a hot topic at present biological characteristics identification technology research. Under the non-restrictive condition, the face recognition rate is not high, and its accuracy needs to be further improved. In this paper, the following aspects is analyzed)