摘要
比较分析了小波变换去噪法和经验模态分解去噪法在心音信号去噪中的优点和缺点,并且结合它们的优缺点提出了基于EMD分解的小波去噪算法,最后将文中提出的算法分别与小波去噪法和EMD去噪法进行比较分析。实验仿真表明:该算法能有效地实现心音信号中噪声的消除,并且能很好地保留心音信号的高频特征参数,对非平稳噪声的去除表现出独到的优势。
The advantages and disadvantages of wavelet transform de-noising method and EMD de-noising method in the PCG signals de-noising is analyzed in this paper.Then a new de-noising method is proposed based on advantages of the two methods.The proposed method is compared with wavelet de-noising and the EMD de-noising in qualitative and quantitative.Experimental results show that,this algorithm can effectively eliminate the noises in PCG signals.Meanwhile,this algorithm has a peculiar advantage for non-steady PCG signals＇ de-nosing and maintain PCG signals＇ characteristic.
出处
《南京邮电大学学报（自然科学版）》
2010年第6期96-100,106,共6页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
山东省自然科学基金(y2006G03
y2007G14)资助项目
