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中国科学院大学学报 ›› 2012, Vol. 29 ›› Issue (4): 524-528.DOI: 10.7523/j.issn.2095-6134.2012.4.014

• 信息与电子科学 • 上一篇    下一篇

基于小波分析的Bessel声场预处理

李琴, 谭冠政   

  1. 中南大学信息科学与工程学院, 长沙 410083
  • 收稿日期:2011-04-06 修回日期:2011-05-30 发布日期:2012-07-15
  • 通讯作者: 李琴

Bessel field pre-treatment based on wavelet analysis

LI Qin, TAN Guan-Zheng   

  1. School of Information Science & Engineering,Central South University, Changsha 410083,China
  • Received:2011-04-06 Revised:2011-05-30 Published:2012-07-15

摘要: 采用Fourier-Bessel方法对环型换能器的声场进行数值计算,并对仿真声场进行了深入讨论. 通过对换能器轴向声压分布的分析,针对声近场明显的扰动,提出一种新的方法对声场进行预处理,即利用小波多分辨率分析降噪,去除近场杂频率成分,提高声压幅度. 研究结果表明,小波分析技术能提高Bessel声场的基波成像质量,对于小波变换在Bessel超声成像中的应用提供了很好的依据.

关键词: Fourier-Bessel, 小波分析, 自适应降噪

Abstract: The simulated sound field of an annular ultrasound transducer is given based on Fourier-Bessel series method. After analyzing the axial acoustic pressure, especially the near-field disturbance, wavelet multi-resolution analysis of the noise reduction is carried out for removing the near-field complex frequency components and increasing the sound pressure amplitude. The results show that the wavelet analysis technique can be used for improving the fundamental ultrasound imaging quality of Bessel field.

Key words: Foursier-Bessel, wavelet analysis, adaptive denoising

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