Cargando…
Noise Reduction Method of Underwater Acoustic Signals Based on CEEMDAN, Effort-To-Compress Complexity, Refined Composite Multiscale Dispersion Entropy and Wavelet Threshold Denoising
Owing to the problems that imperfect decomposition process of empirical mode decomposition (EMD) denoising algorithm and poor self-adaptability, it will be extremely difficult to reduce the noise of signal. In this paper, a noise reduction method of underwater acoustic signal denoising based on comp...
Autores principales: | Li, Guohui, Guan, Qianru, Yang, Hong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514116/ https://www.ncbi.nlm.nih.gov/pubmed/33266727 http://dx.doi.org/10.3390/e21010011 |
Ejemplares similares
-
A New Underwater Acoustic Signal Denoising Technique Based on CEEMDAN, Mutual Information, Permutation Entropy, and Wavelet Threshold Denoising
por: Li, Yuxing, et al.
Publicado: (2018) -
A Novel Noise Reduction Method of UAV Magnetic Survey Data Based on CEEMDAN, Permutation Entropy, Correlation Coefficient and Wavelet Threshold Denoising
por: Zheng, Yaoxin, et al.
Publicado: (2021) -
ECG Signal De-noising and Baseline Wander Correction Based on CEEMDAN and Wavelet Threshold
por: Xu, Yang, et al.
Publicado: (2017) -
Multimode Decomposition and Wavelet Threshold Denoising of Mold Level Based on Mutual Information Entropy
por: Lei, Zhufeng, et al.
Publicado: (2019) -
Displacement Monitoring of a Bridge Based on BDS Measurement by CEEMDAN–Adaptive Threshold Wavelet Method
por: Mo, Chunlan, et al.
Publicado: (2023)