Suppressing random noise in seismic signals using wavelet thresholding based on improved chaotic fruit fly optimization

Abstract Suppressing random noise in seismic signals is an important issue in research on processing seismic data. Such data are difficult to interpret because seismic signals usually contain a large amount of random noise. While denoising can be used to reduce noise, most denoising methods require...

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Detaylı Bibliyografya
Asıl Yazarlar:	Feng Yang, Jun Liu, Qingming Hou, Lu Wu
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	SpringerOpen 2024-05-01
Seri Bilgileri:	EURASIP Journal on Advances in Signal Processing
Konular:	Random noise Seismic data Denoising Wavelet threshold Chaotic fruit fly optimization
Online Erişim:	https://doi.org/10.1186/s13634-024-01161-z
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Suppressing random noise in seismic signals using wavelet thresholding based on improved chaotic fruit fly optimization

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