In genetic analysis, there are often competing explanations for the same data. Sophisticated mathematical models have been developed that can encapsulate these problems in terms of parameters that ...
Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...
Abstract: This letter investigates channel estimation for ultra-massive multiple-input multiple-output (MIMO) communications. We propose a joint low-rank and sparse Bayesian estimation (LRSBE) ...
Abstract: In movable antennas (MAs) systems, implementing channel estimation remains a significant challenge due to pilot overhead and sparsity issues. To address these issues, we study a 5-D ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback