Open AccessCompressed sensing algorithms for electromagnetic imaging applications
Author(s) -
Richard Obermeier
Publication year - 2016
Language(s) - Uncategorized
Resource type - Dissertations/theses
DOI - 10.17760/d20238457
Subject(s) - compressed sensing , algorithm , computer science , matrix (chemical analysis) , matrix norm , set (abstract data type) , minification , norm (philosophy) , signal processing , artificial intelligence , physics , digital signal processing , materials science , computer hardware , eigenvalues and eigenvectors , quantum mechanics , composite material , programming language , political science , law
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