Please use this identifier to cite or link to this item:
Type: Artigo
Title: 2D poststack seismic data inversion with curvelet denoising preconditioning
Author: Gomes, V. M.
Santos, H. B.
Schleicher, J.
Novais, A.
Santos, M. A. C.
Rocha, M. S. Q.
Abstract: Seismic inversion methods are highly sensitive to the noise present in the data set. The need to enhance the signal-to-noise ratio (SNR) motivates the researchers do develop increasingly sophisticated denoising methods and combine them into other techniqu
Subject: Prospecção sísmica
Ondas sísmicas - Modelos matemáticos
Processamento de sinais
Seismic prospecting
Seismic waves
Signal processing
Country: França
Editor: European Association of Geoscientists and Engineers
Rights: fechado
Identifier DOI: 0
Date Issue: 2017
Appears in Collections:IMECC - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
2-s2.0-85033229379.pdf770.96 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.