Abstract: This letter proposes a variational Bayesian sparse decision-feedback equalizer (VB-SDFE) based on the recursive least squares (RLS) algorithm for underwater acoustic communications. The ...

Abstract: As smart grids transition toward intelligence and decarbonization, their growing complexity demands advanced solutions for uncertainty quantification, real-time processing, and multi-modal ...

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 ...

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...

Quantum computing is an emerging paradigm that leverages the principles of quantum mechanics to solve computational problems beyond the reach of classical computers. This article provides an overview ...