fingerprint

this the code of invasive weed colony algorithm in matlab

孟德尔隐马尔科夫的源程序，对于孟德尔隐马尔科夫的研究者有帮助

ECG的应用，ECG在医疗检测方面发挥着中重要作用，所以，心电信号至关重要(With the application of ECG, ECG plays an important role in medical detection, so ECG signal is very important.)

提出了一种基于角度信息的约束总体最小二乘无源定位算法 该算法首 先将非线性的观测方程转化为线性方程, 并分析了观测噪声对线性(A constrained global least squares passive location algorithm based on angle information is proposed. In this algorithm, the nonlinear observation equation is first transformed into a linear equation, and the linear effect of observation noise is analyzed.)

迈瑞杯医疗仪器设计大赛ECG心电特征检测，各种滤波器设计代码及文献，希望对大家有用(Mindray Medical Instrument Design Contest Cup ECG ECG feature detection, various filter design code and documentation, we hope to be useful)

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.

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)

对心音信号的50hz陷波器设计和MFCC计算，能量的提取(Heart sound signal 50hz notch filter design and MFCC calculation, energy extraction)

指纹识别 这个是TOOLBOX，别人写的。。主要用来识别指纹的处理。。 此文件没有解压密码(Fingerprint Recognition of this is TOOLBOX, written by someone else. . Mainly used to identify fingerprint processing. . This document does not extract passwords)

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.)