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
Link To Document :
بازگشت