Cargando…
MEMS Hydrophone Signal Denoising and Baseline Drift Removal Algorithm Based on Parameter-Optimized Variational Mode Decomposition and Correlation Coefficient
Underwater acoustic technology is an important means of detecting the ocean. Due to the complex influence of the marine environment, there is a lot of noise and baseline drift in the signals collected by hydrophones. In order to solve this problem, this paper proposes a denoising and baseline drift...
Autores principales: | Yan, Huichao, Xu, Ting, Wang, Peng, Zhang, Linmei, Hu, Hongping, Bai, Yanping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864985/ https://www.ncbi.nlm.nih.gov/pubmed/31652974 http://dx.doi.org/10.3390/s19214622 |
Ejemplares similares
-
A Direction-of-Arrival Estimation Algorithm Based on Compressed Sensing and Density-Based Spatial Clustering and Its Application in Signal Processing of MEMS Vector Hydrophone
por: Yan, Huichao, et al.
Publicado: (2021) -
The Development of the Differential MEMS Vector Hydrophone
por: Zhang, Guojun, et al.
Publicado: (2017) -
High-Sensitivity Piezoelectric MEMS Accelerometer for Vector Hydrophones
por: Shi, Shuzheng, et al.
Publicado: (2023) -
Dimension Reduction Localization Algorithm of Mixed Sources Based on MEMS Vector Hydrophone Array
por: Shang, Zhenzhen, et al.
Publicado: (2022) -
Research on Ship-Radiated Noise Denoising Using Secondary Variational Mode Decomposition and Correlation Coefficient
por: Li, Yuxing, et al.
Publicado: (2017)