Comparative analysis results for underwater transient classification

Richard S. Loe; Kevin Anderson; Ken K. Jung

doi:10.1117/12.170079

15 March 1994 Comparative analysis results for underwater transient classification

Richard S. Loe, Kevin Anderson, Ken K. Jung

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170079
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Richard S. Loe, Kevin Anderson, and Ken K. Jung "Comparative analysis results for underwater transient classification", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170079

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