Compressed sensing and coding theory

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URI: http://hdl.handle.net/1992/13640
URL: http://biblioteca.uniandes.edu.co/acepto201699.php?id=10296.pdf
Author: García Sánchez, Javier Hernán
Director(s)/Advisor(s): Velasco Gregory, Mauricio Fernando; Junca Peláez, Mauricio JoséUniandes authority; Bogart, Tristram; Gauthier Umaña, Valerie Elisabeth
Publication date: 2016
Content type: masterThesis
Keywords:
Abstract:
En este trabajo se construyen matrices determinísticas para compressed sensing basados en códigos lineales. Para cada código lineal se exhibe una matriz de ceros y unos que resulta ser altamente dispersa.El comportamiento de esas matrices es comparado con algunas matrices clásicas aleatorias usadas en compressed sensing
 
In this work we construct deterministic compressed sensing matrices based in linear codes. For each linear code, we exhibit a measurement compressed sensing matrix consisting of zeros and ones. This results being highly sparse. The behavior of these matrices is compared with respect to some classical random compressed sensing matrices
 
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