使用阈值法对脉搏信号的峰值进行提取 pulse peak detection

Sources for isolated speech recognition project. Compiled with Visual Studio 2008. Used Visual C++ for gui programming, the engine is written in pure C++ and can be used in many ways.

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.)

基于差分法的QRS波检测算法程序（PAN.J, TOMPKINS. W.J： A Real-Time QRS Detection Algorithm 对应的matlab程序）。(QRS detection algorithm program based difference method (PAN.J, TOMPKINS WJ:. " A Real-Time QRS Detection Algorithm" corresponding matlab program).)

通过核来泛化的判别分析（GDA）代码，MATLAB写的。(through nuclear generalization to the discriminant analysis (GDA) code, written in MATLAB.)

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.)

说明：  表面肌电信号数字传感器的设计。表面肌电（suRFace electromyography, sEMG）信号是神经肌肉系统在进行随意性和非随意性活动时的生物电变化经表面电极引导、放大、显示和记录所获得的一维电压时间序列信号，其振幅约为0-5000μV，频率0-1000Hz，信号形态具有较强的随机性和不稳定性。与传统的针式肌电图相比，sEMG的空间分辨率相对较低，但是探测空间较大，重复性较好，对于体育科学研究、康复医学临床和基础研究等具有重要的学术价值和应用意义[1]。(Surface EMG digital sensor design)

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,)

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).

用语言编写的解线性方程组的直接方法包含Gauss顺序消去法,Gauss列主元素消去法,Doolittle三角分解法(The direct methods for solving linear equations written in language include Gauss sequential elimination method, Gauss column principal element elimination method and Doolittle trigonometric decomposition method.)