International audienceTikhonov and LASSO regularizations are commonly used to solve force reconstruction problems in time domain. Unfortunately, these particular forms of additive regularization are not well adapted to tackle both localization and time reconstruction problems simultaneously, since they are generally restricted to the reconstruction of sources sharing the same space and time characteristics. To alleviate this limitation, a multiplicative space-time reg-ularization is introduced. The proposed regularization strategy takes advantage of one's prior knowledge of the space-time characteristics of excita-tion sources. It also introduces a novel reconstruction model based on the generalized-α method, which is unconditionally stable...
A regularized algorithm for the recovery of band-limited signals from noisy data is described. The r...
A primary interest in dynamic inverse problems is to identify the underlying temporal behaviour of t...
Part I: Theory In this paper dynamic inverse problems are studied, where the investigated object is ...
International audienceTikhonov and LASSO regularizations are commonly used to solve force reconstruc...
International audienceDynamic forces reconstruction from vibration data is an ill-posed inverse prob...
International audienceIterated Tikhonov regularization can be seen as an iterative refinement of an ...
International audienceTo identify mechanical sources acting on a structure, Tikhonov-like regulariza...
International audienceAdditive regularizations, such as Tikhonov-like approaches, are certainly the ...
International audienceThis paper introduces a multi-parameter multiplicative regularization for forc...
International audienceIn a paper, recently published in Mechanical Systems and Signal Processing, we...
International audienceIn presence of very noisy data, standard regularization methods generally fail...
International audienceThe multiplicative lq-regularization has been recently introduced in structura...
International audienceIn a previous paper, the authors introduced a flexible methodology for reconst...
In this work, reconstruction and location in time domain of multiple forces acting on a linear elast...
The high temporal resolution of EEG/MEG data offers a way to improve source reconstruction estimates...
A regularized algorithm for the recovery of band-limited signals from noisy data is described. The r...
A primary interest in dynamic inverse problems is to identify the underlying temporal behaviour of t...
Part I: Theory In this paper dynamic inverse problems are studied, where the investigated object is ...
International audienceTikhonov and LASSO regularizations are commonly used to solve force reconstruc...
International audienceDynamic forces reconstruction from vibration data is an ill-posed inverse prob...
International audienceIterated Tikhonov regularization can be seen as an iterative refinement of an ...
International audienceTo identify mechanical sources acting on a structure, Tikhonov-like regulariza...
International audienceAdditive regularizations, such as Tikhonov-like approaches, are certainly the ...
International audienceThis paper introduces a multi-parameter multiplicative regularization for forc...
International audienceIn a paper, recently published in Mechanical Systems and Signal Processing, we...
International audienceIn presence of very noisy data, standard regularization methods generally fail...
International audienceThe multiplicative lq-regularization has been recently introduced in structura...
International audienceIn a previous paper, the authors introduced a flexible methodology for reconst...
In this work, reconstruction and location in time domain of multiple forces acting on a linear elast...
The high temporal resolution of EEG/MEG data offers a way to improve source reconstruction estimates...
A regularized algorithm for the recovery of band-limited signals from noisy data is described. The r...
A primary interest in dynamic inverse problems is to identify the underlying temporal behaviour of t...
Part I: Theory In this paper dynamic inverse problems are studied, where the investigated object is ...