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使用阈值法对脉搏信号的峰值进行提取，并且通过提取信号的峰值求脉搏信号的周期，并且简单判断脉搏信号的峰值是否可用。(Useing Threshold to extrack the peak of the pulse signal extraction, and determine the peak of the pulse signal whether is not available.)

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】)

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)

Computer Vision Emotion recognition

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.)

包括各种非线性方程的MATLAB求解算法，如拟牛顿法，数值延拓法，高斯牛顿法(Include a variety of nonlinear equations MATLAB algorithm, such as the quasi-Newton method, numerical continuation method, Gauss-Newton method)

niitonvalue fmri preprossing(niitovalue fmri preprossing)

ct图像重建工具箱，有大量的实例可以学习(This directory contains various algorithms for image reconstruction and other inverse problems such as image restoration and image registration. It also contains code for related applications including MRI pulse design.)

稀疏PCA的优化解算法，较新的pca算法，供大家学习交流！(Optimal Solutions for Sparse Principal Component Analysis)

系统生物学的基础书，研究生物动力学方向的研究人员可以参考，其中包括了几种典型的生物系统；(The book aims at understanding biological systems at system level.)