Open AccessCompressed sensing under strong noise. Application to imaging through multiply scattering media
Author(s) -
Antoine Liutkus,
David Martina,
Sylvain Gigan,
Laurent Daudet
Publication year - 2014
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - compressed sensing , noise (video) , computer science , noise measurement , calibration , sampling (signal processing) , signal (programming language) , nyquist–shannon sampling theorem , noise floor , sample (material) , nyquist rate , electronic engineering , algorithm , acoustics , telecommunications , artificial intelligence , physics , mathematics , computer vision , statistics , engineering , noise reduction , detector , image (mathematics) , thermodynamics , programming language