Fractional Fourier Transform for Ultrasonic Chirplet Signal Decomposition
Joint Authors
Lu, Yufeng
Kasaeifard, Alireza
Saniie, Jafar
Oruklu, Erdal
Source
Advances in Acoustics and Vibration
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A fractional fourier transform (FrFT) based chirplet signal decomposition (FrFT-CSD) algorithm is proposed to analyze ultrasonic signals for NDE applications.
Particularly, this method is utilized to isolate dominant chirplet echoes for successive steps in signal decomposition and parameter estimation.
FrFT rotates the signal with an optimal transform order.
The search of optimal transform order is conducted by determining the highest kurtosis value of the signal in the transformed domain.
A simulation study reveals the relationship among the kurtosis, the transform order of FrFT, and the chirp rate parameter in the simulated ultrasonic echoes.
Benchmark and ultrasonic experimental data are used to evaluate the FrFT-CSD algorithm.
Signal processing results show that FrFT-CSD not only reconstructs signal successfully, but also characterizes echoes and estimates echo parameters accurately.
This study has a broad range of applications of importance in signal detection, estimation, and pattern recognition.
American Psychological Association (APA)
Lu, Yufeng& Kasaeifard, Alireza& Oruklu, Erdal& Saniie, Jafar. 2012. Fractional Fourier Transform for Ultrasonic Chirplet Signal Decomposition. Advances in Acoustics and Vibration،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-474892
Modern Language Association (MLA)
Lu, Yufeng…[et al.]. Fractional Fourier Transform for Ultrasonic Chirplet Signal Decomposition. Advances in Acoustics and Vibration No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-474892
American Medical Association (AMA)
Lu, Yufeng& Kasaeifard, Alireza& Oruklu, Erdal& Saniie, Jafar. Fractional Fourier Transform for Ultrasonic Chirplet Signal Decomposition. Advances in Acoustics and Vibration. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-474892
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474892