Detection of spatially sparse damage using impulse response sensitivity and LASSO regularization
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Publication:4988507
DOI10.1080/17415977.2018.1434776zbMath1464.94015OpenAlexW2789621315MaRDI QIDQ4988507
Eric M. Hernandez, Chandler B. Smith
Publication date: 17 May 2021
Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/17415977.2018.1434776
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Brittle damage (74R05) Numerical solution of inverse problems involving ordinary differential equations (65L09)
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Uses Software
Cites Work
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- Wavelet-Based Sensitivity Analysis of the Impulse Response Function for Damage Detection
- Greed is Good: Algorithmic Results for Sparse Approximation
- The derivative of the exponential matrix with respect to a matrix
- Structural damage assessment using a generalized minimum rank perturbation theory
- Sparsity and incoherence in compressive sampling
- Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ 1 minimization
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