空化
小波
气泡
快速傅里叶变换
声学
超声波
小波变换
波形
计算机科学
材料科学
人工智能
物理
算法
电信
雷达
并行计算
出处
期刊:International Journal of Functional Informatics and Personalised Medicine
[Inderscience Enterprises Ltd.]
日期:2008-01-01
卷期号:1 (4): 378-378
被引量:1
标识
DOI:10.1504/ijfipm.2008.022154
摘要
Bubble cavitation is one of the major mechanisms for ultrasound treatment. To understand its characteristics, cavitation signals were picked up using passive cavitation detection and then analysed by wavelet transform. Although the Fast Fourier Transform (FFT) has been used widely in signal analysis, the absence of temporal information is one of its limitations. The inertial cavitation strength detected by wavelet method was ∼60 folds higher than that using FFT. Furthermore, the relationship of waveform profile and acoustic pressure with the corresponding bubble cavitation were investigated. All together, wavelet approach could be new tool for studying bubble cavitation.
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