Please use this identifier to cite or link to this item:
http://repositorio.unicamp.br/jspui/handle/REPOSIP/345816
Type: | Artigo |
Title: | A fast algorithm for sparse multichannel blind deconvolution |
Author: | Nose-Filho, Kenji Takahata, André K. Lopes, Renato Romano, João M. T. |
Abstract: | We have addressed blind deconvolution in a multichannel framework. Recently, a robust solution to this problem based on a Bayesian approach called sparse multichannel blind deconvolution (SMBD) was proposed in the literature with interesting results. However, its computational complexity can be high. We have proposed a fast algorithm based on the minimum entropy deconvolution, which is considerably less expensive. We designed the deconvolution filter to minimize a normalized version of the hybrid l(1)/l(2)-norm loss function. This is in contrast to the SMBD, in which the hybrid l(1)/l(2)-norm function is used as a regularization term to directly determine the deconvolved signal. Results with synthetic data determined that the performance of the obtained deconvolution filter was similar to the one obtained in a supervised framework. Similar results were also obtained in a real marine data set for both techniques |
Subject: | Deconvolução |
Country: | Estados Unidos |
Editor: | Society of Exploration Geophysicists |
Rights: | Fechado |
Identifier DOI: | 10.1190/GEO2015-0069.1 |
Address: | https://library.seg.org/doi/full/10.1190/geo2015-0069.1 |
Date Issue: | 2016 |
Appears in Collections: | FEEC - Artigos e Outros Documentos |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
000377880100019.pdf | 3.22 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.