IEEE

Matrix-Inversion-Free Sparse Bayesian Learning for High-Resolution Radar Imagery via Improved Variational Inference

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
GitHub

Stacking Variational Bayesian Monte Carlo (S-VBMC)

Stacking Variational Bayesian Monte Carlo (S-VBMC)[1] is a fast post-processing step for Variational Bayesian Monte Carlo (VBMC). VBMC is an approximate Bayesian inference technique that produces a ...
IEEE

Efficient Incremental Variational Bayesian Learning-Based Near-Field Channel Estimation for XL-MIMO Systems

Abstract: Extremely large-scale multiple-input multiple-Output (XL-MIMO) technique has recently emerged as a promising candidate to improve the capacity and spectral efficiency for future ...