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Proceedings Paper

Comparative analysis results for underwater transient classification
Author(s): Richard S. Loe; Kevin Anderson; Ken K. Jung
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Paper Abstract

Comparative results are presented for the classification of underwater transient sounds. Comparisons are made using the short-time Fourier transform (STFT) and the Morlet continuous wavelet transform (CWT). Performance as a function of signal-to- noise ratio are presented for synthetic chirp transients. Classification results for three classes of biological signals are also presented. Adaptive energy windows and moments of the transformed signals were used as features for classification. Certain classes of transient signals were found for which one of the transforms was superior. In general, wavelets were better for broadband signals, while the STFT was optimal on narrowband signals.

Paper Details

Date Published: 15 March 1994
PDF: 9 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170079
Show Author Affiliations
Richard S. Loe, Lockheed Palo Alto Research Lab. (United States)
Kevin Anderson, Lockheed Palo Alto Research Lab. (United States)
Ken K. Jung, Lockheed Palo Alto Research Lab. (United States)


Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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