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1下载：
1．找点一段心电信号，画出信号时域波形和频谱图；
2. 利用MATLAB中的随机函数产生噪声加入到心电信号中，使心电信号被污染，读出污染后的号并画出对应信号的时域波形和频谱图；
3．用双线性变换法设计一个Butterworth带通滤波器，输出所设计的滤波器的阶次，分子、分母多项式的系数，画出滤波器的频率响应（幅频响应和相频响应）曲线；（也可以根据自己需要设置滤波器性能指标）
带通通滤波器设计性能指标：fs1=10Hz, fp1=20Hz, fp1=1000Hz, fs2=120
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用于心电信号滤波的LMS自适应噪声对消器设计，胎儿信号包含母亲信号噪声，采用自适应算法将母亲信号对消掉，得到胎儿心电信号。-ECG filtering for LMS adaptive noise cancellation design, the fetus signals the mother signal contains noise, the use of adaptive algorithm will signal to eliminate the mother, the fetal E
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A few examples of designing and implementing fir filters with Matlab-filtering a signal taken from the mic input of the soundcard and putting it on the headphones output chanel and removing noise from ECG.I m uploading this file just because I need t
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1. 用双线性变换法设计一个巴特沃斯低通IIR数字滤波器。设计指标参数为：在通带内频率低于0.2π时，最大衰减小于1dB；在阻带内[0.3π, π]频率区间上，最小衰减大于15dB.
2.0.02π为采样间隔，打印出数字滤波器在频率区间[0, π/2]上的频率响应特性曲线。
3. 用所设计的滤波器对实际心电图信号采样序列进行仿真滤波处理，观察总结滤波作用与效果
附：心电图采样序列x(n)
人体心电图信号在测量过程中往往受到工业高频干扰，所以必须经过低通滤波处理后，才能作为判断心脏
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本次实验是要我们先产生心电信号，再加噪声再滤波。由一个心电信号数据表输出心电信号，由于已知的心电信号有噪声，所以我先将信号进行滤波，得到正确的心电信号。再加噪声，通过滤波可以得到高频和中频噪声，将原信号加上噪声显示再滤波。每次的时域信号都画出了他们相应的频谱，便于观察。每次的滤波我也尝试了不同的滤波器。-This experiment is to produce our first ECG, together with noise and then filtering. ECG data fro
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采用小波变换的方法实现心电信号的滤波，分别使用了硬阈值、软阈值和改进阈值方法，并实现了滤波效果的评价（均方差和信噪比）-Wavelet transform of ECG signal filtering method, respectively, using a hard threshold and soft threshold and improve the threshold method, and to achieve the filtering effect of the evaluat
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Several signed LMS based adaptive filters, which are computationally
superior having multiplier free weight update loops are proposed for noise
cancellation in the ECG signal. The adaptive filters
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Abstract— with the latest advancements in electronics,
several techniques are used for removal of unwanted entities
from signals especially that are implied in the most
sophisticated applications. The removal of power line
interference from m
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This paper gives an insight to labview software tools which helps in analysis of ECG signals. The raw ECG data are taken MIT-BIH Arrhythmia . Study of ECG signal includes filtering & preprocessing which removes the baseline wandering and noise due to
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