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Short-Time Fourier Transform of Continuous Wave Doppler Signals

Published online by Cambridge University Press:  10 February 2011

Shi-Chang Wooh ,
Coach Wei  and
Arthur Clay
Shi-Chang Wooh
Affiliation:
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, scwooh@mit.edu
Coach Wei
Affiliation:
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, scwooh@mit.edu
Arthur Clay
Affiliation:
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, scwooh@mit.edu
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Abstract

A Doppler-based ultrasonic monitoring scheme was introduced to detect discontinuities on the surface of a rapidly moving object. Single-tone, continuous wave (CW) ultrasound was impinged onto the moving surface and the reflected signal was processed by a Short-Time Fourier Transform (STFT) algorithm to identify surface anomalies. By monitoring the peak magnitude of the STFT spectra within a specified window, it was possible to reconstruct a signal representing Doppler frequency shift continuously in the time domain.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 503: Symposium JJ – Nondestructive Characterization of Materials in Aging Systems , 1997 , 269
Copyright
Copyright © Materials Research Society 1998

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