Sparse signal recovery is an important technique for acoustic direction-of-arrival (DOA)
estimation which is widely used in applications such as humanoid robots and voice control …

This paper proposes a novel beam-domain channel estimation (CE) algorithm via sparse
Bayesian learning (SBL) using complex t-prior for massive multi-user multiple-input multiple …

Advanced methods for acoustic direction-of-arrival (DOA) estimation leverage sparse signal
recovery techniques, which are valued for providing high-resolution results using a limited …

Sparse Bayesian learning (SBL) with its self-regulation and uncertainty estimation features,
has become a popular topic in the field of sparse signal recovery. However, it is a …

Objective. To address the quality and accuracy issues in the distribution of nanophosphors
(NPs) using Cone-beam x-ray luminescence computed tomography (CB-XLCT) by …

One of the most important sources of water supply is groundwater. However, the
groundwater level (GWL) is significantly impacted by the global climate change. Therefore …

This paper proposes a novel beam-domain channel estimation (CE) algorithm based on
sparse Bayesian learning (SBL) using complex t-prior for massive multi-user multiple-input …

DC magnetic bias leads to serious consequences such as increased transformer noise,
intensified vibration, incorrect operation of relay protection, and increased transformer …