Pan_Tompkins_ECG_v7

gmsk的调制哦与解调的MATLAB程序(Oh GMSK modulation and demodulation of the MATLAB program)

这是一个基于weka数据挖掘的实验测试数据集,格式为 arff,里面包含有名词性和数值型的数据集,用于weka挖掘测试(This is an experimental test data set based on weka data mining, in the format of arff, containing nominal and numerical data sets for weka mining testing)

筛选的几篇脑电节律提取的文章，可以用于其它信号处理~ 【基于改进小波变换的EEG分析】【基于小波变换的动态脑电节律提取】【脑电信号的特征节律信号提取】【a、β、δ、θ和40Hz波实时检测器】(Screening of several EEG extracted article, can be used for other signal processing ~ 【EEG based on improved wavelet analysis】 【based on wavelet transform extracts】 【dynamic EEG characteristics of EEG signal extraction】 【a rhythm , β, δ, θ, and real-time 40Hz wave detector】)

检测心电信号QRS波, 检测准确率大于99%，数据库为MIT-BIH 心律失常数据库。(The algorithm can detect the qrs waves automaticlly.)

指纹识别 这个是TOOLBOX，别人写的。。主要用来识别指纹的处理。。 此文件没有解压密码(Fingerprint Recognition of this is TOOLBOX, written by someone else. . Mainly used to identify fingerprint processing. . This document does not extract passwords)

一篇关于蚁群算法的论文,侧重于对算法的背景,研究状况,数学推导的介绍,具有一定的学术价值,(A paper on ant colony algorithm, focusing on the background of the algorithm, research status, mathematical derivation of the introduction, has certain academic value,)

可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。 1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)， 获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。 2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。 3.计算各个波段的功率谱。(FFT spectrum can be extracted on EEG. We can use the extracted EEG each band to diagnose some brain disorders or brain tissue on the brain' s electrical activity and functional status were analyzed. One would experimentally measured EEG data file into a text file (has been 50Hz notch), obtained in Matlab platform can be used directly EEG data, that 0661.txt. (2) import data in Matlab and extract Fp1 channel EEG by FFT transform α, β, θ, δ bands were extracted, and do FFT inverse transform variable to the time domain. 3 calculate the power spectrum of each band.)

用matlab编写的，基于元胞自动机的交通流模型(Using matlab，Based on cellular automata traffic flow model)

说明：  TCGA数据合并 Merge-putFilesToOneDir.zip(TCGA data Merge-putFilesToOneDir.zip)

This is my course final project for biometrics. It implements a robust face recognition system. Techniques used include Log-Gabor filter , Kernel Discriminant Analysis(KDA) and Sparse Representation . Test data included(ORL database of faces).