Exploiting sparseness in damage characterization: A close look at the regularization techniques

Autor: Memarzadeh, Esmaeil, Bernal, Dionisio, Ulriksen, Martin D.

The idea of exploiting sparseness in under-determined damage characterization problems is not new, and regularizations techniques that tend to promote sparseness, such as L1-norm minimization, have been investigated in the last ten years or so. Altho

Externí odkaz: http://arxiv.org/abs/2204.08588

Exploiting Sparseness in Damage Characterization: A Close Look at the Regularization Techniques

Autor: Memarzadeh, Esmaeil, Bernal, Dionisio, Ulriksen, Martin Dalgaard

Publikováno v: Memarzadeh, E, Bernal, D & Ulriksen, M D 2023, Exploiting Sparseness in Damage Characterization: A Close Look at the Regularization Techniques . in P Rizzo & A Milazzo (eds), European Workshop on Structural Health Monitoring-EWSHM 2022-Volume 2 . vol. 2, Lecture Notes in Civil Engineering, vol. 254, pp. 1058–1065 . https://doi.org/10.1007/978-3-031-07258-1_106

The idea of exploiting sparseness in under-determined damage characterization problems is not new, and regularizations techniques that tend to promote sparseness, such as L1-norm minimization, have been investigated in the last ten years or so. Altho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::28c148b4a0ae3d9bcdb155f98cdb6dfc
https://vbn.aau.dk/da/publications/e005fa08-ee12-4132-b23d-63602839b66e