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: 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 ...
Daniel McNulty began writing for Investopedia in 2012. His work includes articles on financial analysis, asset allocation, and trading strategies. Marguerita is a Certified Financial Planner (CFP), ...
We will keep our notes and code on dealing with censored variables in Bayesian models in this repo. My initial idea for this is that we can basically treat each worked out example or section that we ...
1 Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China 2 The Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China Objective: ...
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 ...
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