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- W2546550003 abstract "The paper investigates the feasibility of implementing an intelligent classifier for noise sources in the ocean, with the help of artificial neural networks, using higher order spectral features. Non-linear interactions between the component frequencies of the noise data can give rise to certain phase relations called Quadratic Phase Coupling (QPC), which cannot be characterized by power spectral analysis. However, bispectral analysis, which is a higher order estimation technique, can reveal the presence of such phase couplings and provide a measure to quantify such couplings. A feed forward neural network has been trained and validated with higher order spectral features." @default.
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- W2546550003 date "2009-11-01" @default.
- W2546550003 modified "2023-10-14" @default.
- W2546550003 title "Implementation of a neural network classifier for noise sources in the ocean" @default.
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- W2546550003 doi "https://doi.org/10.1109/sympol.2009.5664142" @default.
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