Chaotic signal denoising based on energy selection TQWT and adaptive SVD

Aiming at the problem of denoising chaotic signals with low signal-to-noise ratio and unknown dynamic system parameters, a new chaotic signal denoising algorithm is proposed, which combines adjustable Q-factor wavelet transform (TQWT) and adaptive singular value decomposition (ASVD). This method use...

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Detalles Bibliográficos
Autores principales: Yang, Xinlu, Wang, Wenbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620181/
https://www.ncbi.nlm.nih.gov/pubmed/37914799
http://dx.doi.org/10.1038/s41598-023-45811-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620181/
https://www.ncbi.nlm.nih.gov/pubmed/37914799
http://dx.doi.org/10.1038/s41598-023-45811-y

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