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Unraveling the Mysteries of Millimeter Wave Advanced Imaging Technology

Have you ever wondered how cutting-edge technology is revolutionizing the way we perceive our surroundings? Millimeter wave advanced imaging, at the forefront of this transformation, offers unprecedented insights into a wide range of fields. This technology is capable of improving security, revolutionizing medical diagnostics, and changing how we diagnose. What does it detect and how ....

Customized Imaging Solutions , Millimeter Wave Imaging Works , Millimeter Wave Advanced Imaging , Millimeter Wave Advanced Imaging Detects , Surface Features , Concealed Objects , Millimeter Wave , Object Detection , Radiation Free Imaging , Unlikex Rays , Breast Imaging , Time Monitoring , Privacy Concerns , Balancing Act , Millimeter Wave Advanced , Infrastructure Protection , Edge Innovations , Spatial Understanding , Engineering Applications , Reality Integration , Real Time Monitoring , Law Enforcement , Quality Control , Predictive Analysis , Imaging Solutions , Millimeter Precision ,

"Efficient Channel Estimation for RIS-Aided MIMO Communications with Un" by Yabo Guo, Peng Sun et al.

Reconfigurable intelligent surface (RIS) is very promising for wireless networks to achieve high energy efficiency, extended coverage, improved capacity, massive connectivity, etc. To unleash the full potentials of RIS-aided communications, acquiring accurate channel state information is crucial, which however is very challenging. For RIS-aided multiple-input and multiple-output (MIMO) communications, the existing channel estimation methods have computational complexity growing rapidly with the number of RIS units N (e.g., in the order of N2 or N3) and/or have special requirements on the matrices involved (e.g., the matrices need to be sparse for algorithm convergence to achieve satisfactory performance), which hinder their applications. In this work, instead of using the conventional signal model in the literature, we derive a new signal model obtained through proper vectorization and reduction operations. Then, leveraging the unitary approximate message passing (UAMP), we develop a m ....

Approximate Message Passing Amp , Channel Estimation , Electronic Mail , Message Passing , Imo Communication , Econfigurable Intelligent Surface Ris , Signal Processing Algorithms , Parse Matrices ,

"Unitary Approximate Message Passing for Sparse Bayesian Learning" by Man Luo, Qinghua Guo et al.

Sparse Bayesian learning (SBL) can be implemented with low complexity based on the approximate message passing (AMP) algorithm. However, it does not work well for a generic measurement matrix, which may cause AMP to diverge. Damped AMP has been used for SBL to alleviate the problem at the cost of reducing convergence speed. In this work, we propose a new SBL algorithm based on structured variational inference, leveraging AMP with a unitary transformation (UAMP). Both single measurement vector and multiple measurement vector problems are investigated. It is shown that, compared to stateof- the-art AMP-based SBL algorithms, the proposed UAMPSBL is more robust and efficient, leading to remarkably better performance. ....

Approximate Message Passing , Approximation Algorithms , Bayes Methods , Covariance Matrices , Nference Algorithms , Message Passing , Signal Processing Algorithms , Parse Bayesian Learning , Parse Matrices , Tructured Variational Inference ,