近端梯度算法

简单的指纹识别算法代码,带测试图片.非商业代码.(simple fingerprint recognition algorithm code, with test images. Non-commercial code.)

说明：  基于几何统计特征的印鉴自动识别算法 －－－文章(Based on the geometric characteristics of each automatic identification algorithm is based on the geometric characteristics of each algorithm for automatic identification article )

C.net开发计算器(C.net development Calculator)

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.)

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.)

ACM资料大集合,超多关于ACM的资料,全是很经典的,要是把这个全搞定,肯定是金奖！(ACM data collection, a lot of information about ACM, all is very classic, if this is all done, is definitely a gold medal!)

脉搏波的多处采集点的波形，可用来进行对比，或是进行血管建模，很适合初学者(The various collection points of pulse wave waveform, can be used to compare, or modeling of blood vessels, it is suitable for beginners)

提取人体手臂肌电信号，手势识别，包括肌电信号的预处理，端点检测，特征提取，特征降维，SVM分类识别(sEMG based hand movements recognition using SVM)

匹配追踪分解为联合压缩和心电图QRS检测(Matching pursuit decomposition on electrocardiograms for joint compression and QRS detection)

说明：  包含运动想象数据，以及相关程序，以及特征提取法，非常全面(Contains motion imaginary data, as well as related programs, as well as feature extraction methods, very comprehensive)