Sparse Spike Deconvolution of Seismic Data Using Trust-Region Based SQP Algorithm

DOI10.1142/S0218396X15400020zbMath1360.86021WikidataQ124662911 ScholiaQ124662911MaRDI QIDQ2981488

Qingbao Zhou, Zhi Guo Wang, Jing-Huai Gao

Publication date: 9 May 2017

Published in: Journal of Computational Acoustics (Search for Journal in Brave)

zbMATH Keywords

deconvolutionsparsityde-biasingtrust-region SQP method

Mathematics Subject Classification ID

Seismology (including tsunami modeling), earthquakes (86A15) Computational methods for problems pertaining to geophysics (86-08) Numerical methods for inverse problems for integral equations (65R32)

Cites Work

• Sparse and Redundant Representations
• A Family of Trust-Region-Based Algorithms for Unconstrained Minimization with Strong Global Convergence Properties
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