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FIR.rar
- 用窗函数法hamming设计的FIR数字低通滤波器，能够实现心电信号中随机噪声的去除,Hamming window function method with the design of FIR digital low-pass filter, ECG can be achieved in the removal of random noise
IIR
- 用双线性Z变换法设计IIR巴特沃思型数字低通滤波器，能够实现心电信号中随机噪声的去除。-Bilinear Z transform with the design of IIR Butterworth digital low-pass filter, ECG can be achieved in the removal of random noise.
ode4way
- 神经元HH模型，带高斯白噪声，4阶龙格库塔-Neuron HH model, with Gauss white noise, 4 order Runge Kutta
evokedpotential
- 构造一组诱发相应，并利用诱发响应提取的方法取得滤除噪声后的诱发相应原始信号-Construct a set of corresponding induced , and evoked response extracted made to filter out the noise induced by the corresponding original letter
xinyinsignal
- 对医院采集的心音信号通过小波变换将噪声和心音信号分离。-Hospital acquisition of heart sound signals by wavelet transform to seperation noise and heart sound signal .
filter
- 基于肌电信号的滤波器综合设计，根据低通滤波器，高通滤波器，带阻滤波器的常用指标完成50HZ工频干扰和高、低频噪声干扰的滤波。-Based the EMGs filter design based on the low-pass filter, high pass filter, band stop filter used indicators completed 50HZ working frequency interference and the high and low frequency
emgfeature
- 对采集的EMG信号进行特征提取分析，里面有自己采集的EMG信号，并有去除噪声程序-Acquisition of the EMG signal feature extraction analysis, which has its own collection of EMG signal and noise removal program
Henon
- 生成Henon混沌时间序列,并可添加高斯白噪声-Make Henon series
IIRdt
- 本程序主要应用是，心电信号自动分析算法研究的第一个关键步骤——心电信号预处理。此处采用了数字滤波的方法，主要针对心电信号的肌电和其它高频干扰噪声，进行滤除。-The main application of this procedure is that the first key step algorithm for automatic analysis of ECG- ECG pretreatment. Here the use of digital filtering methods, mai
ECG-diag
- 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,
PhaseNoise
- 用速率方程，数值计算SG-DBR半导体激光器和Y-Branch激光器的相位噪声，并将结果与理论公式对比，结果符合良好。(By using the rate equation, the relative intensity noise and phase noise of the ordinary single mode semiconductor laser are calculated, and the results are compared with the theoretical for