短时傅里叶变换
傅里叶变换
时域
超声波传感器
信号(编程语言)
频域
声学
无损检测
计算机科学
时频分析
飞行时间
谱密度估计
算法
数学
傅里叶分析
物理
光学
数学分析
电信
计算机视觉
雷达
程序设计语言
量子力学
作者
Zhenkun Lu,MA Fu-hua,Cui Yang,Mengjia Chang
出处
期刊:Ultrasonics
[Elsevier]
日期:2020-04-01
卷期号:103: 106104-106104
被引量:13
标识
DOI:10.1016/j.ultras.2020.106104
摘要
The accurate estimation of time of flight (TOF) of an ultrasonic signal is essential in ultrasonic non-destructive testing (NDT). A novel method for TOF estimation based on the short-time Fourier transform (STFT) is proposed in this paper. Firstly, the time and frequency components of ultrasonic echoes are represented by a STFT. Then, the STFT spectrum of the echoes is projected onto the time domain. Finally, the TOF is estimated by calculating the location of the maximum modulus of STFT spectrum of the signal. A nonlinear Least Squares (LS) estimation method based on Modified Gauss–Newton (MGN) is employed to improve the estimation accuracy. The TOFs of multi-component echo signals are estimated by successive windowing. Numerical simulations and experiment tests show the performance of the proposed method.
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