no code implementations • 12 May 2019 • Brett Bernstein, Sheng Liu, Chrysa Papadaniil, Carlos Fernandez-Granda
In this work, we consider separable inverse problems, where the data are modeled as a linear combination of functions that depend nonlinearly on certain parameters of interest.
1 code implementation • 14 Nov 2018 • Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda
We propose a learning-based approach for estimating the spectrum of a multisinusoidal signal from a finite number of samples.
no code implementations • 28 Feb 2018 • Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel, Brett Bernstein, Riccardo Lattanzi, Martijn Cloos, Florian Knoll, Jakob Assländer
Magnetic resonance fingerprinting (MRF) is a technique for quantitative estimation of spin-relaxation parameters from magnetic-resonance data.
Medical Physics Numerical Analysis Numerical Analysis Optimization and Control