Bayesian sparse regularization for multiple force identification and location in time domain

DOI10.1080/17415977.2018.1505883zbMath1461.62041OpenAlexW2888050794WikidataQ62623315 ScholiaQ62623315MaRDI QIDQ4990742

Souleymane Samagassi, A. Khamlichi, Moussa Sylla, E. Jacquelin

Publication date: 31 May 2021

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2018.1505883

zbMATH Keywords

inverse problemtime domainregularization parametersparsecompressed sensingBayesian regularizationmulti-force identification

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Bayesian inference (62F15) Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Ill-posedness and regularization problems in numerical linear algebra (65F22)

Uses Software

• CoSaMP

Cites Work

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• Bayesian signal detection with compressed measurements
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• Decoding by Linear Programming
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Ten Lectures on Wavelets
• Bayesian Compressive Sensing
• Inverse Problem Theory and Methods for Model Parameter Estimation
• Sparsity and incoherence in compressive sampling
• Monte Carlo sampling methods using Markov chains and their applications

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