A feature extraction method of ship-radiated noise based on mathematical morphological filtering

In order to extract feature of ship signal more effectively, we propose a new approach for mathematical morphological filtering based on the morphological features. Mathematical morphological filter is a new nonlinear filter, which can effectively extract the edge contour and shape characteristics....

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Bibliographic Details
Published in:Journal of vibration and control 2022-12, Vol.28 (23-24), p.3664-3675
Main Authors: Li, Zhao-xi, Li, Ya-an, Zhang, Kai
Format: Article
Language:English
Subjects:
Feature extraction
Frequency spectrum
Mathematical analysis
Morphological filters
Nonlinear filters
Shape
Ships
Signal processing
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Summary:In order to extract feature of ship signal more effectively, we propose a new approach for mathematical morphological filtering based on the morphological features. Mathematical morphological filter is a new nonlinear filter, which can effectively extract the edge contour and shape characteristics. The stimulation signal is processed by mathematical morphological filtering of different structure elements, which confirms the effect of morphological filtering on suppressing noise and preserving the nonlinear characteristics. Using flat structure element, the measured ship-radiated noise signals are processed by average filter, and the filtered signals are analyzed on the frequency spectrum. Compared with other filters, the result shows that the mathematical morphological filtering can successfully extract the effective information from the ship-radiated noise signals.
ISSN:1077-5463
1741-2986
DOI:10.1177/10775463211038123