Segmentation Method for Ship-Radiated Noise Using the Generalized Likelihood Ratio Test on an Ordinal Pattern Distribution
Due to the diversity of ship-radiated noise (SRN), audio segmentation is an essential procedure in the ship statuses/categories identification. However, the existing segmentation methods are not suitable for the SRN because of the lack of prior knowledge. In this paper, by a generalized likelihood r...
Main Authors: | Lei He, Xiao-Hong Shen, Mu-Hang Zhang, Hai-Yan Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/4/374 |
Similar Items
-
Ordinal Patterns, Entropy, and EEG
by: Karsten Keller, et al.
Published: (2014-11-01) -
Denoising and Feature Extraction Algorithms Using NPE Combined with VMD and Their Applications in Ship-Radiated Noise
by: Yuxing Li, et al.
Published: (2017-11-01) -
Joint Representation and Recognition for Ship-Radiated Noise Based on Multimodal Deep Learning
by: Fei Yuan, et al.
Published: (2019-10-01) -
Mimicking Ship-Radiated Noise With Chaos Signal for Covert Underwater Acoustic Communication
by: Shuhua Huang, et al.
Published: (2020-01-01) -
Holistic control of ship noise emissions
by: Borelli Davide, et al.
Published: (2016-04-01)