KFCM

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

脑电睡眠分期svm分类器，可用于家庭监测人的睡眠(SVM classifier for electroencephalogram sleep staging)

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.)

说明：  ECG的应用：ECG在医疗检测方面发挥着中重要作用，本文中包含ECG 的Q波检测和ECG的分类，所以，心电信号至关重要。(Application of ECG: ECG plays an important role in medical detection. This paper includes Q wave detection of ECG and classification of ECG, so ECG signal is very important.)

this the code of invasive weed colony algorithm in matlab

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).

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,)

BP网络的MATLAB实现，用BP网络完成函数的逼近，具体见里面的README(BP Network MATLAB, BP network to be completed function approximation, the specific see inside the README)

说明：  关于ppg信号预处理和特征提取的代码仅供参考学习(The code of PPG signal preprocessing and feature extraction is for reference only)

该工具箱主要功能：显示心电信号，分析心电信号中的outlier(ECG signal display，ECG signal analysis)