hundunRBF

svm程序，下载后可以直接运行，但需要结合data数据。没有密码(svm program can be run directly after download, but requires a combination of data data. No password)

MATLAB模糊神经网络的一些代码，算法。(MATLAB fuzzyNN)

turbo码simulink编码程序，可以用来学如何用c++编写s函数。(simulink code turbo encoding process can be used to learn how to use c++ preparation s function.)

This is to calculate the PDF,CDF and histogram of the given data samples

说明：  在本系统中，信息序列在先经过FSK调制，经过截止频率为25kHz的低通滤波器后（把信号频率限制在25kHz），再进入混频器搬移到更高的频率发送出去，在接收端，用与发送端同步的跳频信号对其进行变频（跳频的解跳处理在此进行），取下边频，然后进行FSK的解调(In this system, the message sequence prior through FSK modulation, through the cut-off frequency of 25kHz after low-pass filter (to limit the frequency 25kHz), and then move into the mixer to a higher frequency to send out, at the receiving end used with frequency hopping synchronization signal transmitter carried on their conversion (FH' s solution to deal with this for jumping), take down side frequencies, then the demodulation of FSK)

the performance of LSE algorithm in OFDM channel estimation

基于MATLAB平台的PWM调制正弦波的快速傅里叶分析(his model simulates and computes Fourier analysis of PWM based sinusoidal waveform. Fundamental frequency can be changed in model properties. Amplitude modulation index and frequency modulation index can be adjusted in Simulink model directly.)

直流电机的起动，制动，调速。其中含有各个部分的matlab仿真模型。(DC motor starting, braking, speed. Which contains various parts of matlab simulation model.)

SkewT分布是近年来得到广泛使用的一种参数化分布。区别于传统的正太分布、学生-t分布，SkewT分布除了具有厚伟特征之外，还引入了偏斜特征。该分布对于金融领域的研究与应用具有十分重要的价值。当然，也是一个重要的统计工具。SkewT分布由Bruce E. Hansen(1994)构造，本源码包括SkewT分布的密度函数、累计概率、随机数生成、理论矩。(SkewT distribution has been widely used recently. Different from traditional Normality and Student-t distribution, SkewT parameterizes both tail-thickness and skewness. SkewT is valuable to financial applications and studies, and other statistic tool. SkewT is firstly introduced by Bruce E. Hansen(1994). This package includes M files on the density of SkewT, CDF, random number generator and theoretical moments of SkewT.)

说明：  Matlab环境下，实现用PCA方法提取EigenFace,之后通过SVM方法对人脸图像进行分类识别。(Face recognition via PCA and SVM method)