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eess.SP2025
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…
eess.SP2021★ 3 cited
Circumventing the resolution-time tradeoff in Ultrasound Localization Microscopy by Velocity Filtering
Ufuk Soylu, Yoram Bresler
Ultrasound Localization Microscopy (ULM) offers a cost-effective modality for microvascular imaging by using intravascular contrast agents (microbubbles). However, ULM has a fundam…
eess.SP2018
Bounding Multivariate Trigonometric Polynomials with Applications to Filter Bank Design
Luke Pfister, Yoram Bresler
The extremal values of multivariate trigonometric polynomials are of interest in fields ranging from control theory to filter design, but finding the extremal values of such a poly…