Simple_adpative

说明：  经典的Huffman编码，给定概率向量，输出相应Huffman编码(Classic Huffman encoding, given the probability vector, the output corresponding Huffman coding)

说明：  编写的一个信号通过带阻滤波器的例子，已经运行通过(Signal through an example of band-stop filter, run by)

MATLAB教程，希望能对大家有所帮助。很不错。(MATLAB tutorial, we want to help. Very good.)

a very good book by bentley about transeducer technology useful inPG course

说明：  matlab based segmentation

文中包含了完整的OFDM源代码程序，使用matlab编写，对做OFDM的人员有绝对好处。(text contains a complete OFDM source code, the use of Matlab preparation, OFDM right staff to do the absolute advantage.)

Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, 所谓高斯噪声是指它的概率密度函数服从高斯分布（即正态分布）的一类噪声。如果一个噪声，它的幅度分布服从高斯分布，而它的功率谱密度又是均匀分布的，则称它为高斯白噪声。高斯白噪声的二阶矩不相关，一阶矩为常数，是指先后信号在时间上的相关性。高斯白噪声包括热噪声和散粒噪声。 (Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, refers to the correlation of signal in time. White gaussian noise including thermal noise and shot noise. )

Dijktra s single source shortest path algorithm. The function takes a graph (which may be sparse) as an input and returns the matrix of shortest distances between all of the nodes. Additionally, individual source and sink nodes may be specified as additional arguments.

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. )

这是一个粒子群算法（PSO）用于特征选择的matlab函数，用户可以自由选择目标函数优化方向、种群大小、迭代次数等等。(this is an feature selection program with particle swarm optimization of matlab ,you can chose the Function optimization direction the scale of the swarm and the number of the iteration)