Abstract
Propeller-induced cavitation noise is used for the detection and classification of maritime vehicles. Wideband cavitation noise is traditionally modeled as an amplitude-modulated signal and analyzed with an envelope demodulator. Modeling cavitation noise with cyclostationary random processes has culminated in improved detection levels provided by the envelope spectrum. This study offers a method to improve the envelope spectrum by calculating negative entropy in the dominant frequency bands of cavitation.
Translated title of the contribution | Cyclic Spectral Analysis via Negative Entropy for Maritime Vehicles |
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Original language | Turkish |
Title of host publication | 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350343557 |
DOIs | |
Publication status | Published - 2023 |
Event | 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 - Istanbul, Turkey Duration: 5 Jul 2023 → 8 Jul 2023 |
Publication series
Name | 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 |
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Conference
Conference | 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 5/07/23 → 8/07/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.