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, ...

Second Research Department, China Research Institute of Radiowave Propagation, Qingdao, China Automatic Identification System (AIS) operates within a very high frequency (VHF) maritime mobile band, ...

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...

This study addresses the challenge of efficiently and accurately computing three-dimensional undulating surface magnetic field data, which has become increasingly difficult with the development of ...

DispFormer is a transformer-based neural network for inverting S-wave velocity ($v_s$) profiles from Rayleigh-wave phase and/or group dispersion curves. It processes ...