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Separation of rail and wheel contributions to pass-by noise with sparse regularization methods

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0 Published in 2020 at "Journal of Sound and Vibration"

DOI: 10.1016/j.jsv.2020.115627

Abstract: Abstract This paper proposes a method for separating rail and wheel noise contributions via sparse regularization of microphone array data. The underlying idea is to promote sparse solutions, which jointly approximate the two noise contributions… read more here.

Keywords: pass noise; rail wheel; separation; sparse regularization ... See more keywords

An enhanced sparse regularization method for impact force identification

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0 Published in 2019 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2019.02.039

Abstract: Abstract The standard sparse regularization method based on l1-norm minimization for impact force identification has already proved to be an interesting alternative to the classical regularization method based on l2-norm minimization. However, choosing the l1-norm… read more here.

Keywords: regularization; impact force; regularization method; sparse regularization ... See more keywords

EIT Imaging Regularization Based on Spectral Graph Wavelets

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0 Published in 2017 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2017.2716825

Abstract: The objective of electrical impedance tomographic reconstruction is to identify the distribution of tissue conductivity from electrical boundary conditions. This is an ill-posed inverse problem usually solved under the finite-element method framework. In previous studies,… read more here.

Keywords: spectral graph; eit imaging; wavelet transforms; sparse regularization ... See more keywords

Sparse Regularization via Convex Analysis

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0 Published in 2017 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2017.2711501

Abstract: Sparse approximate solutions to linear equations are classically obtained via L1 norm regularized least squares, but this method often underestimates the true solution. As an alternative to the L1 norm, this paper proposes a class… read more here.

Keywords: least squares; regularization via; via convex; sparse regularization ... See more keywords

A novel joint sparse regularization model to structural damage identification by the generalized fused lasso penalty

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1 Published in 2022 at "Advances in Structural Engineering"

DOI: 10.1177/13694332221085372

Abstract: The sparse regularization (SReg) model is widely used for structural damage identification by employing the sparsity peculiarity of the structural damage. The conventional SReg model often separately conducts damage identification on each measurement, while ignores… read more here.

Keywords: structural damage; sparse regularization; damage identification; damage ... See more keywords