Abstract
The noise produced by the cavitation of the propellers is the main acoustic signature used to detect and classify the ships in underwater recordings. Propeller noise exhibits cyclostationarity and creates acoustic traces called tonals which depends on the characteristic of the propellers and can be detected by using Integrated Cyclic Modulation Coherence (ICMC) method. However, ICMC does not contain information about time. So, we propose a visual tool named ICMC-gram, which allows to examine the changes in cyclic frequencies over time and show its application on real data collected from the Sea of Marmara.
| Translated title of the contribution | Detection of Ship Propeller Tonals |
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| Original language | Turkish |
| Title of host publication | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350388961 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Mersin, Turkey Duration: 15 May 2024 → 18 May 2024 |
Publication series
| Name | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings |
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Conference
| Conference | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 |
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| Country/Territory | Turkey |
| City | Mersin |
| Period | 15/05/24 → 18/05/24 |
Bibliographical note
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