超声回波信号的多阈值分段去噪方法研究

Studies of ultrasonic echo signal based on a multi-threshold segmentation de-noising method

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.