Mohan Kumar, K; Supriya, M H; Saseendran Pillai, P R(IEEE, 2009)
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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