Cargando…
Optimized Ship-Radiated Noise Feature Extraction Approaches Based on CEEMDAN and Slope Entropy
Slope entropy (Slopen) has been demonstrated to be an excellent approach to extracting ship-radiated noise signals (S-NSs) features by analyzing the complexity of the signals; however, its recognition ability is limited because it extracts the features of undecomposed S-NSs. To solve this problem, i...
Autores principales: | Li, Yuxing, Tang, Bingzhao, Jiao, Shangbin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497670/ https://www.ncbi.nlm.nih.gov/pubmed/36141150 http://dx.doi.org/10.3390/e24091265 |
Ejemplares similares
-
Double Feature Extraction Method of Ship-Radiated Noise Signal Based on Slope Entropy and Permutation Entropy
por: Li, Yuxing, et al.
Publicado: (2021) -
Refined Composite Multi-Scale Reverse Weighted Permutation Entropy and Its Applications in Ship-Radiated Noise
por: Li, Yuxing, et al.
Publicado: (2021) -
A New Feature Extraction Method for Ship-Radiated Noise Based on Improved CEEMDAN, Normalized Mutual Information and Multiscale Improved Permutation Entropy
por: Chen, Zhe, et al.
Publicado: (2019) -
Hierarchical Cosine Similarity Entropy for Feature Extraction of Ship-Radiated Noise
por: Chen, Zhe, et al.
Publicado: (2018) -
Optimized Variational Mode Decomposition and Permutation Entropy with Their Application in Feature Extraction of Ship-Radiated Noise
por: Xie, Dongri, et al.
Publicado: (2021)