DocumentCode
1233029
Title
Detection of echoes using time-frequency analysis techniques
Author
Daponte, Pasquale ; Fazio, Giuseppe ; Molinaro, Anna
Author_Institution
Dept. of Comput. Sci., Salerno Univ., Italy
Volume
45
Issue
1
fYear
1996
fDate
2/1/1996 12:00:00 AM
Firstpage
30
Lastpage
40
Abstract
The following is a presentation of echo detection techniques based on time-frequency signal analysis for the measuring of thickness in thin multilayer structures. These techniques are shown to provide high-resolution signal characterization in a time-frequency space, and good noise rejection performance. In particular, the short-time Fourier transform, the Gabor expansion, the cross-ambiguity function and the Wigner-Ville distribution are analyzed and compared with techniques such as the logarithmic power spectrum, cepstrum and the segmented chirp Z-Transform. A suitable operating procedure was set up, based on an initial emulation phase in which simulated signals were considered, followed by a second phase in which real signals were processed. The results show the optimum performances of these new techniques compared with the traditional ones and, in particular, that the accurate measurement of thickness can be obtained also when waveform transients partially overlap
Keywords
Fourier transforms; Wigner distribution; Z transforms; cepstral analysis; echo; signal processing; thickness measurement; time-frequency analysis; Gabor expansion; Wigner-Ville distribution; cepstrum; cross-ambiguity function; echo detection; emulation phase; high-resolution; logarithmic power spectrum; measurement of thickness; noise rejection; optimum performances; segmented chirp Z-Transform; short-time Fourier transform; simulated signals; thin multilayer structures; time-frequency analysis; time-frequency signal analysis; time-frequency space; waveform transients; Cepstral analysis; Cepstrum; Chirp; Emulation; Fourier transforms; Nonhomogeneous media; Signal analysis; Signal processing; Thickness measurement; Time frequency analysis;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/19.481308
Filename
481308
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