Cargando…
Feature Extraction of Ship-Radiated Noise Based on Intrinsic Time-Scale Decomposition and a Statistical Complexity Measure
Extracting effective features from ship-radiated noise is an important way to improve the detection and recognition performance of passive sonar. Complexity features of ship-radiated noise have attracted increasing amounts of attention. However, the traditional definition of complexity based on entr...
Autores principales: | Wang, Junxiong, Chen, Zhe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514422/ http://dx.doi.org/10.3390/e21111079 |
Ejemplares similares
-
A Feature Extraction Method of Ship-Radiated Noise Based on Fluctuation-Based Dispersion Entropy and Intrinsic Time-Scale Decomposition
por: Li, Zhaoxi, et al.
Publicado: (2019) -
Optimized Variational Mode Decomposition and Permutation Entropy with Their Application in Feature Extraction of Ship-Radiated Noise
por: Xie, Dongri, et al.
Publicado: (2021) -
Hierarchical Cosine Similarity Entropy for Feature Extraction of Ship-Radiated Noise
por: Chen, Zhe, et al.
Publicado: (2018) -
Resonance-Based Time-Frequency Manifold for Feature Extraction of Ship-Radiated Noise
por: Yan, Jiaquan, et al.
Publicado: (2018) -
Multi-Stage Feature Extraction and Classification for Ship-Radiated Noise
por: Esmaiel, Hamada, et al.
Publicado: (2021)