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Compressive sensing for electromagnetic imaging using a Nesterov-based algorithm
Author(s) -
Yolanda Rodríguez Vaqueiro
Publication year - 2015
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d20194129
Subject(s) - compressed sensing , robustness (evolution) , nyquist–shannon sampling theorem , algorithm , computer science , nyquist rate , signal processing , artificial intelligence , signal (programming language) , sampling (signal processing) , computer vision , digital signal processing , computer hardware , biochemistry , chemistry , filter (signal processing) , gene , programming language

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