A novel algorithm for solving multiplicative mixed-norm regularization problems - Archive ouverte HAL
Article Dans Une Revue Mechanical Systems and Signal Processing Année : 2020

A novel algorithm for solving multiplicative mixed-norm regularization problems

Résumé

In a paper, recently published in Mechanical Systems and Signal Processing, a multiplicative mixed-norm regularization has been introduced for solving space-frequency force reconstruction problems. Originally, the solution is obtained from an Iteratively Reweighted Least-Squares (IRLS) algorithm. However, as shown in this communication, such an algorithm exhibits a lack of robustness regarding the measurement noise level. For this reason, a novel iterative resolution algorithm, based on the first-order optimality condition, is introduced. From a numerical experiment, it is shown that the proposed algorithm exhibits a better robustness than the IRLS algorithm initially implemented for solving force reconstruction problems in the frequency domain.
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Dates et versions

hal-02551104 , version 1 (22-04-2020)

Identifiants

Citer

Mathieu Aucejo, Olivier de Smet. A novel algorithm for solving multiplicative mixed-norm regularization problems. Mechanical Systems and Signal Processing, 2020, 140, pp.106887. ⟨10.1016/j.ymssp.2020.106887⟩. ⟨hal-02551104⟩
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