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Content Provider | IEEE Xplore Digital Library |
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Author | Leung, T.S.-T. White, P.R. |
Copyright Year | 1996 |
Description | Author affiliation: Inst. of Sound & Vibration Res., Southampton Univ., UK (Leung, T.S.-T.) |
Abstract | This paper discusses a fuzzy logic based system developed to detect and classify a series of real life underwater acoustic transients. Signals received in the ocean are highly contaminated by various sources. While a trained sonar operator may classify transients without too difficulty, automatic classification by traditional template matching does not give satisfactory results. Our classifier is based on the fuzzy logic theory which can incorporate human knowledge into the process of inference. In this way, we are able to consult experts and create a system which partially mimics human reasoning. The power of the classifier will be demonstrated with two classes of real life underwater acoustic transients. |
Starting Page | 494 |
Ending Page | 497 |
File Size | 413404 |
Page Count | 4 |
File Format | |
ISBN | 0780336291 |
DOI | 10.1109/DSPWS.1996.555570 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1996-09-01 |
Publisher Place | Norway |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Fuzzy logic Underwater acoustics Bandwidth Acoustic signal detection Frequency Humans Sonar Acoustic noise Spectrogram Detectors |
Content Type | Text |
Resource Type | Article |
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