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Performance evaluation of fractional Fourier transform(FrFT) for time-frequency analysis of ultrasonic signals in NDE applications

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4 Author(s)
Yufeng Lu ; Dept. of Electr. & Comput. Eng., Bradley Univ., Peoria, IL, USA ; Kasaeifard, A. ; Oruklu, E. ; Saniie, J.

Recently, there has been a growing attention on fractional Fourier transform (FrFT) for time-frequency analysis. In this investigation, an FrFT-based signal decomposition algorithm is utilized to decompose ultrasonic signals into a linear combination of signal components. As a transformation tool, FrFT is employed to estimate an optimal transform order, which leads to the maximum amplitude response, or the highest kurtosis value in the fractional transform domain. Furthermore, a signal component is obtained by applying a window in the fractional domain and inverse FrFT. In an iterative manner, ultrasonic signals are decomposed into the signal components until a predefined stop criterion is satisfied. Analytical and simulation results show that FrFT is an alternative method to perform high-resolution analysis of nonstationary ultrasonic signals.

Published in:

Ultrasonics Symposium (IUS), 2010 IEEE

Date of Conference:

11-14 Oct. 2010