adaptivethreshold

RBF神经网络用于分类与回归，非常实用，强烈建议下载(RBF neural network for classification and regression, very practical, it is strongly recommended to download)

本实验设计了一个《北京、南京、深圳列车查询系统》的图形用户界面。用户可以通过此界面，采用“按车站名称查询”、“按列车车次查询”和“按出发地—目的地查询”三种方式，方便地查询需要的列车信息。界面友好清新，操作方便。(The experimental design was a " Beijing, Nanjing, Shenzhen Train Enquiry System," the graphical user interface. Users can use this interface, a " query by station name" , " Query by Train Train" and " by origin- destination query" three ways to easily check in need train information. Fresh and friendly interface, easy to operate.)

说明：  s1 is the M-file description of the SIMULINK system named s1. The block-diagram can be displayed by typing: s1. SYS=s1(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS.

***************CPM modulation***************** 关联长度为L=3 连续相位调制 by yyf 2010.11.12 ***************CPM modulation*****************( ***************CPM modulation***************** 关联长度为L=3 连续相位调制 by yyf 2010.11.12 ***************CPM modulation*****************)

This matlab code helps to track color using matlab algortihm. this is a image processing programming code to develop automatic color detection applications.

小波包分析提取振动信号中的特征频率，利用自然梯度算法，有详细的注释。( Wavelet packet analysis to extract vibration signal characteristic frequency, Use of natural gradient algorithm, There are detailed notes.)

System identification with adaptive filter using full and partial-update Least-Mean-Squares

说明：  复杂网络小世界算法MATLAB实现，学习复杂网络的朋友可以以此为开始学习算法(MATLAB complex network to achieve small world algorithm, learning this complex network of friends can start learning algorithm for the)

Spectrum Sensing and Energy Detection in Cognitive Radio Networks

说明：  控制流语句if-else-end，并且用学生成绩举例，创建Hilbert矩阵，n阶魔方矩阵，编写一个M函数文件(Control-flow statements if-else-end, and with student achievement, for example, create a Hilbert matrix, n-order magic square matrix, the preparation of an M function file)