digitizeGraph

image enhancement matlab code ,can improve the picture quality ,especially for the image with low quality .(image enhancement Matlab code, can improve the picture quality. especially for the image with low quality.)

this rar file contains matlab code for face recognition using CS4VM. here the implementation was done by using CS4VM method of face recognition.

说明：  参数错误后的混沌加密 用matlab 仿真实现混沌加密在图像加密中的应用(After chaotic encryption parameter error)

performance of wireless communication using path loss, received power and bit error rate calculation for GMSK modulation techniques

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)

silp mode used in most examples ,according to the book writed by chen jinkun

基于Matlab的生理信号脑电的使用工具文件(Matlab-based physiological signal the use of tools for document EEG)

普通PID控制，本人已试过，非常好使，希望大家的支持，谢谢！(Ordinary PID control, I have tried, very so that, hope everyone' s support, thank you!)

wind + PMSG model in simulink

FIR(Finite Impulse Response)滤波器：有限长单位冲激响应滤波器，是数字信号处理系统中最基本的元件，它可以在保证任意幅频特性的同时具有严格的线性相频特性，同时其单位抽样响应是有限长的，因而滤波器是稳定的系统。因此，FIR滤波器在通信、图像处理、模式识别等领域都有着广泛的应用。 (FIR (Finite Impulse Response) filters: finite impulse response filter unit, digital signal processing system is the most basic components, it can ensure that any increase in the frequency characteristics of both a strictly linear phase frequency characteristics, while its unit sample response is finite, and therefore the system filter is stable. Therefore, FIR filters in communications, image processing, pattern recognition and other fields have a wide range of applications.)