4 papers
Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors
Badr Moufad, Albina Ilina, Hai Victor Habi +4
Commercial Microwave Links (CMLs) offer dense spatial coverage for rainfall sensing but produce path-integrated measurements that make accurate ground-level reconstruction challeng…
AWaRe-SAC: Proactive Slice Admission Control under Weather-Induced Capacity Uncertainty
Dror Jacoby, Yanzhi Li, Shuyue Yu +4
Millimeter-wave (mmWave) links are increasingly utilized in wireless x-haul transport to meet growing service demands. However, the inherent susceptibility of mmWave links to weath…
Learned Bayesian Cramér-Rao Bound for Unknown Measurement Models Using Score Neural Networks
Hai Victor Habi, Hagit Messer, Yoram Bresler
The Bayesian Cramér-Rao bound (BCRB) is a crucial tool in signal processing for assessing the fundamental limitations of any estimation problem as well as benchmarking within a Bay…
The use of cluster quality for track fitting in the CSC detector
Erez Etzion, David Primor, Giora Mikenberg +2
The new particle accelerators and its experiments create a challenging data processing environment, characterized by large amount of data where only small portion of it carry the e…