SIMULTANEOUS SOURCE SEPARATION BY USING MEDIAN FILTERING AND SINGULAR SPECTRUM ANALYSIS IN HYPERBOLIC WINDOWS

2019 ◽  
Author(s):  
Aleksei Tarasov ◽  
Andrei Shuvalov ◽  
Andrey Konkov ◽  
Vladimir Ignatev ◽  
Ivan Polikarpov ◽  
...  
2019 ◽  
Author(s):  
Aleksei Tarasov ◽  
Andrei Shuvalov ◽  
Andrey Konkov ◽  
Vladimir Ignatev ◽  
Ivan Polikarpov ◽  
...  

Geophysics ◽  
2021 ◽  
pp. 1-56
Author(s):  
Breno Bahia ◽  
Rongzhi Lin ◽  
Mauricio Sacchi

Denoisers can help solve inverse problems via a recently proposed framework known as regularization by denoising (RED). The RED approach defines the regularization term of the inverse problem via explicit denoising engines. Simultaneous source separation techniques, being themselves a combination of inversion and denoising methods, provide a formidable field to explore RED. We investigate the applicability of RED to simultaneous-source data processing and introduce a deblending algorithm named REDeblending (RDB). The formulation permits developing deblending algorithms where the user can select any denoising engine that satisfies RED conditions. Two popular denoisers are tested, but the method is not limited to them: frequency-wavenumber thresholding and singular spectrum analysis. We offer numerical blended data examples to showcase the performance of RDB via numerical experiments.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 43444-43457
Author(s):  
Francisco Garcia Encinas ◽  
Luis Augusto Silva ◽  
Andre Sales Mendes ◽  
Gabriel Villarrubia Gonzalez ◽  
Valderi Reis Quietinho Leithardt ◽  
...  

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