Fast-K-means-clustering

这是一个决策树的matlab实现，已经测试通过(This is a matlab implementation of decision tree, have the test pass)

jpeg compresion withquantization matrices

adaboost算法的一个简要编程,对于训练算法能有一个很好的初步指导作用(AdaBoost algorithm is a brief program for the training algorithm can have a good initial guide)

小生境粒子群算法编程，及20篇相关论文，全都是关于小生境粒子群的研究与应用(Niche Particle swarm algorithm programming, and 20 article about NPSO s research and application)

matlab小波去噪程序，包含语音信号，和一维吸信号(wavelet denoise matlab code，including wav signal and one d signal。)

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. )

现代数值计算方法所附光盘源码第三部分（福建师范大学）马昌凤, 林伟川编著 科学出版社(Modern numerical methods accompanying CD-ROM Source Part III (Fujian Normal University) MA Chang-Feng, LIN Wei-chuan edited by Science Press)

LS AND RLS implementation

根据smart antenna的原理进行的beamforming的matlab仿真并画出了beampattern(According to the principle of smart antenna beamforming matlab simulation and draw the beampattern)

主要应用Matlab来实现图像的盲源分离而且是三个图像的处理问题采用的方法是FastICA算法(The main application of Matlab to achieve blind source separation method for processing an image problem and is three images FastICA algorithm is used)