BCFCM version

matlab program to calculate error performance

很实用的英文单词的词频统计程序简单实用的matlab的版本(Very useful English words, word frequency statistics program is simple and practical Matlab version)

Chebfun找到一个类似的问题已经解决了别人使用作为一个模板。这一页将你们连接到几十个这样的模板,称为Chebfun例子。每一个例子是一个M-file生产文本和/或图形输出,执行,在大多数情况下,在少于5秒。你也可以执行的例子,用Matlab命令的出版得到一个包含更多的信息的故事。一类开路(出版(“文件名”))去看在你的屏幕上最快的版本或出版(“文件名”)为一个更好的格式化乳胶版本,它将出现在一个目录叫做html。公布的产量也可直接下载作为一个pdf档案。(The quickest way to solve your problem with Chebfun may be to find a similar problem someone else has solved to use as a template. This page connects you to dozens of such templates, called Chebfun Examples. Each example is an M-file producing text and/or graphical output which executes, in most cases, in less than 5 seconds. You can also execute the example with Matlab s PUBLISH command to get a more informative story. Type open(publish( filename )) to see the quickest version on your screen or publish( filename , latex ) for a better formatted LaTeX version, which will appear in a directory called html. The published output is also available for direct download as a pdf file.)

最大指数Lyapunov指数计算方法的程序，比较详细(Maximum index Lyapunov index calculation method of the program, a more detailed)

图形信号的仿真的matlab程序实例，可以说明在小波中图形信号的消噪(Graphical simulation of the signal matlab program examples illustrate the graphic signals in wavelet de-noising)

说明：  遗传算法的matlab程序 最小二乘支持向量机程序(Genetic algorithm matlab process procedures for least squares support vector machine)

matlab实现的hillbert和fft滤波器。适合初学数字信号处理的人学习。(Matlab and achieve hillbert fft filter. Suitable for beginner digital signal processing to emulate.)

QAM 调制与测试 QAM 调制并对调制生成的数据画出PAPR的CCDF曲线(QAM modulation and QAM modulation and modulation of the test data generated by the CCDF curve drawn PAPR)

fingerprint clustering

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)