EEMD and Multiscale PCA-Based Signal Denoising Method and Its Application to Seismic P-Phase Arrival Picking

Signal denoising is one of the most important issues in signal processing, and various techniques have been proposed to address this issue. A combined method involving wavelet decomposition and multiscale principal component analysis (MSPCA) has been proposed and exhibits a strong signal denoising p...

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Detalles Bibliográficos
Autores principales: Peng, Kang, Guo, Hongyang, Shang, Xueyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400814/
https://www.ncbi.nlm.nih.gov/pubmed/34450710
http://dx.doi.org/10.3390/s21165271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400814/
https://www.ncbi.nlm.nih.gov/pubmed/34450710
http://dx.doi.org/10.3390/s21165271

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