近端梯度算法

这是个手指指纹识别的源代码 ,也是从网络上下载的(This is a fingerprints identification of source code, as well as downloaded from the Internet)

MATLAB心电图自动诊断程序。围绕心电信号预处理、心电波形检侧与定位、心电特征提取与分析三个方面。研究MIT数据库中的心电信号，针对心电信号中存在的工频干扰、基线漂移、肌电干扰等各种噪声,设计出了高通、低通、带阻、平滑效果滤波器来对心电信号进行预处理，对处理后的信号采用连续小波变化进行特征点的定位及瞬时心率的计算，最后通过分析给出诊断结果。(MATLAB ECG automatic diagnosis program. Around the ECG signal preprocessing, ECG waveform detection and location, ECG feature extraction and analysis of three aspects, the study of MIT in the ECG signal. According to the frequency interference, baseline drift in the presence of ECG, EMG interference and other noise, design a high pass, low pass, band stop filter, smoothing effect of pretreatment of the ECG signal, the calculation of the processed signal using continuous wavelet transform to locate feature points and instantaneous heart rate, finally the diagnosis results.)

tsp问题，该算法采用matlab算出了30个坐标的最优化路径，并给出迭代的时间，绘出路径。(tsp problem, the algorithm uses matlab to calculate the coordinates of 30 optimal path, and give Iterative time, mapped the path.)

卡布列克常数：题目中给出的处理过程很清楚,算法不需要特殊设计,(Cablek constant: the process given in the title is clear, the algorithm does not require a special design,)

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!)

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)

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)

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.)

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 )

经典KFCM算法在iris数据库上的使用！(The classic KFCM algorithm in the iris database!)