摘要
通过构建超声回波信号模型,将基于小波包阈值去噪应用在超声回波信号研究中。针对超声回波信号的非平稳性,提出一种多阈值分段去噪方法应用于超声回波信号的去噪研究中。仿真实验表明,采用的多阈值分段去噪克服了单阈值规则的局限性,能够较好地处理超声信号中的噪声分量。
Through building ultrasonic echo signal model, this research applies wavelet packet threshold de-noising to the study of ultrasonic echo signal. As the ultrasonic echo signal shows great nonstationarity, we use a multi-threshold segmentation method in the study. The simulations results show that multi-threshold segmentation de-noising can overcome the limit of single threshold and processes ultrasonic echo signal better.
出处
《微型机与应用》
2015年第9期71-74,共4页
Microcomputer & Its Applications
关键词
超声回波信号
小波包阈值去噪
非平稳性
多阈值
ultrasonic echo signal
wavelet packets threshold de-noising
nonstationarity
multi-threshold