To deal with this problem, comparison is made between the empirical mode decomposition(EMD) and the wavelet method in terms of signal trend extraction.
研究了强噪声混合条件下微弱信号的经验模式分解（EMD）问题，提出了一种基于随机共振降噪的EMD分解方法。
Because the wavelet has time-frequency local property, the wavelet method can analyze the local regularity of function more effectively than frequency domain.
由于小波具有时频局部性，因此与频域方法相比，小波方法更能有效地分析函数的局部正则性。
In this paper, several characteristics of ECG from patients, such as QRS complex and its onset and offset T wave and S-T segment, has been detected using wavelet method.
本课题基于小波理论设计软件算法，提出了模极值线群方法，抽取心电信号中若干具有临床价值的特征：QRS波群组态及其起点和终点、T波、S-T段。
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