Separation of rail and wheel contributions to pass-by noise with sparse regularization methods
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
An Iterative Re-Weighting Algorithm for Element to Solve Sparsity-Regularized Linear Inverse Problem and an Application in Sparse-Spike Deconvolution of Seismic Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3574446
Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, medical imaging, etc. This method offers greater flexibility in solving… read more here.
Keywords: sparse regularization; regularized linear; sparsity regularized; linear inverse ... See more keywords
Sparse Regularization With Learnable Partition Weights for Super-Resolution Imaging of Ultrawideband Radar
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2024.3513647
Abstract: In this article, we propose a novel method based on sparse regularization with learnable partition weights (LPWs) for bandwidth extrapolation (BWE) 2-D imaging of ultrawideband radar. Our method aims to improve the quality of super-resolution… read more here.
Keywords: regularization learnable; sparse regularization; radar; super resolution ... See more keywords
Structured Sparse Regularization-Based Deep Fuzzy Networks for RNA N6-Methyladenosine Sites Prediction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2024.3428402
Abstract: In many biological processes, N6-methyladenosine (m6A) plays a critical role. Experimental methods for identifying m6A sites have proven to be costly, and existing computational methods still require improvement. To address these challenges, we develop a… read more here.
Keywords: deep fuzzy; regularization based; sparse regularization; network ... See more keywords
EIT Imaging Regularization Based on Spectral Graph Wavelets
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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